| 2026 | AAAI | Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy. | Bram Grooten, Patrick MacAlpine, Kaushik Subramanian, Peter Stone, Peter R. Wurman |
| 2026 | AAAI | The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All. | Zifan Xu, Kristen Procko, Michael J. Munje, Kristin Patterson, Lea Sabatini, Joydeep Biswas, Peter Stone |
| 2025 | AAAI | The Essentials of AI for Life and Society: An AI Literacy Course for the University Community. | Joydeep Biswas, Don Fussell, Peter Stone, Kristin Patterson, Kristen Procko, Lea Sabatini, Zifan Xu |
| 2025 | AAAI | Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. | Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martn-Martn, Peter Stone |
| 2025 | CVPR | Argus: A Compact and Versatile Foundation Model for Vision. | Weiming Zhuang, Chen Chen, Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Jiabo Huang, Vikash Sehwag, Vivek Sharma, Hirotaka Shinozaki, Felan Carlo Garcia, Yihao Zhan, Naohiro Adachi, Ryoji Eki, Michael Spranger, Peter Stone, Lingjuan Lyu |
| 2025 | ICLR | Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory. | Alexander Levine, Peter Stone, Amy Zhang |
| 2025 | ICLR | Longhorn: State Space Models are Amortized Online Learners. | Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu |
| 2025 | ICLR | SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. | Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno |
| 2025 | ICML | Proto Successor Measure: Representing the Behavior Space of an RL Agent. | Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang |
| 2025 | ICML | Hyperspherical Normalization for Scalable Deep Reinforcement Learning. | Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo |
| 2025 | ICRA | FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning. | Jiaheng Hu, Rose Hendrix, Ali Farhadi, Aniruddha Kembhavi, Roberto Martn-Martn, Peter Stone, Kuo-Hao Zeng, Kiana Ehsani |
| 2025 | ICRA | Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer. | Adam Labiosa, Zhihan Wang, Siddhant Agarwal, William Cong, Geethika Hemkumar, Abhinav Narayan Harish, Benjamin Hong, Josh Kelle, Chen Li, Yuhao Li, Zisen Shao, Peter Stone, Josiah P. Hanna |
| 2025 | IROS | L3M+P: Lifelong Planning with Large Language Models. | Krish Agarwal, Yuqian Jiang, Jiaheng Hu, Bo Liu, Peter Stone |
| 2025 | IROS | Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds. | Rohan Chandra, Haresh Karnan, Negar Mehr, Peter Stone, Joydeep Biswas |
| 2025 | IROS | Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination. | Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao |
| 2025 | IROS | GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring. | Linji Wang, Zifan Xu, Peter Stone, Xuesu Xiao |
| 2025 | ICRA | PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation. | Mingyo Seo, Yoonyoung Cho, Yoonchang Sung, Peter Stone, Yuke Zhu, Beomjoon Kim |
| 2024 | AAAI | Reward (Mis)design for Autonomous Driving (Abstract Reprint). | W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone |
| 2024 | AAAI | Learning Optimal Advantage from Preferences and Mistaking It for Reward. | W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum |
| 2024 | AAAI | Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. | Muhammad Rahman, Jiaxun Cui, Peter Stone |
| 2024 | AAAI | Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. | Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone |
| 2024 | CoRL | Learning to Look: Seeking Information for Decision Making via Policy Factorization. | Shivin Dass, Jiaheng Hu, Ben Abbatematteo, Peter Stone, Roberto Martn-Martn |
| 2024 | EMNLP | LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning. | Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Xian Wu, Peter Stone, Yanjun Qi |
| 2024 | ICLR | Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. | Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari |
| 2024 | ICRA | Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning. | Haresh Karnan, Elvin Yang, Garrett Warnell, Joydeep Biswas, Peter Stone |
| 2024 | ICRA | Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds. | Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao |
| 2024 | ICRA | Asynchronous Task Plan Refinement for Multi-Robot Task and Motion Planning. | Yoonchang Sung, Rahul Shome, Peter Stone |
| 2024 | ICRA | Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning. | Zifan Xu, Amir Hossain Raj, Xuesu Xiao, Peter Stone |
| 2024 | RO-MAN | Dobby: A Conversational Service Robot Driven by GPT-4. | Carson Stark, Bohkyung Chun, Casey Charleston, Varsha Ravi, Luis Pabon, Surya Sunkari, Tarun Mohan, Peter Stone, Justin W. Hart |
| 2023 | AAAI | Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. | Bo Liu, Yihao Feng, Qiang Liu, Peter Stone |
| 2023 | AAAI | The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. | Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi |
| 2023 | AAAI | DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. | Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone |
| 2023 | CoRL | STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. | Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone |
| 2023 | CoRL | Learning Generalizable Manipulation Policies with Object-Centric 3D Representations. | Yifeng Zhu, Zhenyu Jiang, Peter Stone, Yuke Zhu |
| 2023 | ICLR | MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection. | Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin S. Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, Yuandong Tian |
| 2023 | ICRA | Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. | Jin Soo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone |
| 2023 | IROS | Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning. | Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, Shiqi Zhang |
| 2023 | IROS | A Novel Control Law for Multi-Joint Human-Robot Interaction Tasks While Maintaining Postural Coordination. | Keya Ghonasgi, Reuth Mirsky, Adrian M. Haith, Peter Stone, Ashish D. Deshpande |
| 2023 | ICRA | Benchmarking Reinforcement Learning Techniques for Autonomous Navigation. | Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone |
| 2023 | UAI | Composing Efficient, Robust Tests for Policy Selection. | Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone |
| 2022 | CoRL | Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning. | Yoonchang Sung, Zizhao Wang, Peter Stone |
| 2022 | CoRL | VIOLA: Object-Centric Imitation Learning for Vision-Based Robot Manipulation. | Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu |
| 2022 | CVPR | Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles. | Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu |
| 2022 | EUMAS | A Survey of Ad Hoc Teamwork Research. | Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht |
| 2022 | GECCO | Effective mutation rate adaptation through group elite selection. | Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone |
| 2022 | ICML | Causal Dynamics Learning for Task-Independent State Abstraction. | Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone |
| 2022 | IJCAI | Dynamic Sparse Training for Deep Reinforcement Learning. | Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone |
| 2022 | ICRA | Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch. | Eddy Hudson, Garrett Warnell, Faraz Torabi, Peter Stone |
| 2022 | ICRA | Adversarial Imitation Learning from Video Using a State Observer. | Haresh Karnan, Faraz Torabi, Garrett Warnell, Peter Stone |
| 2022 | ICRA | VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation. | Haresh Karnan, Garrett Warnell, Xuesu Xiao, Peter Stone |
| 2022 | IROS | Quantifying Changes in Kinematic Behavior of a Human-Exoskeleton Interactive System. | Keya Ghonasgi, Reuth Mirsky, Adrian M. Haith, Peter Stone, Ashish D. Deshpande |
| 2022 | IROS | VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics. | Haresh Karnan, Kavan Singh Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, Joydeep Biswas |
| 2022 | ICRA | Visually Grounded Task and Motion Planning for Mobile Manipulation. | Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, Shiqi Zhang |
| 2022 | RoboCup | Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer. | Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, Peter Stone |
| 2021 | AAAI | Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback. | Yuchen Cui, Qiping Zhang, Sahil Jain, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox |
| 2021 | AAAI | Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks. | Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone |
| 2021 | AAAI | Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle. | Yu-Sian Jiang, Garrett Warnell, Peter Stone |
| 2021 | AAAI | Expected Value of Communication for Planning in Ad Hoc Teamwork. | William Macke, Reuth Mirsky, Peter Stone |
| 2021 | ICML | Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. | Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar |
| 2021 | ICRA | Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation. | Blake Holman, Abrar Anwar, Akash Singh, Mauricio Tec, Justin W. Hart, Peter Stone |
| 2021 | ICRA | Efficient Real-Time Inference in Temporal Convolution Networks. | Piyush Khandelwal, James MacGlashan, Peter R. Wurman, Peter Stone |
| 2021 | ICRA | Towards Safe Motion Planning in Human Workspaces: A Robust Multi-agent Approach. | Shih-Yun Lo, Benito Fernandez, Peter Stone, Andrea Lockerd Thomaz |
| 2021 | IROS | Capturing Skill State in Curriculum Learning for Human Skill Acquisition. | Keya Ghonasgi, Reuth Mirsky, Sanmit Narvekar, Bharath Masetty, Adrian M. Haith, Peter Stone, Ashish D. Deshpande |
| 2021 | IROS | Team Orienteering Coverage Planning with Uncertain Reward. | Bo Liu, Xuesu Xiao, Peter Stone |
| 2021 | IROS | DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. | Faraz Torabi, Garrett Warnell, Peter Stone |
| 2021 | IROS | From Agile Ground to Aerial Navigation: Learning from Learned Hallucination. | Zizhao Wang, Xuesu Xiao, Alexander J. Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, Peter Stone |
| 2021 | ICRA | APPLI: Adaptive Planner Parameter Learning From Interventions. | Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone |
| 2021 | ICRA | Agile Robot Navigation through Hallucinated Learning and Sober Deployment. | Xuesu Xiao, Bo Liu, Peter Stone |
| 2021 | ICRA | APPLR: Adaptive Planner Parameter Learning from Reinforcement. | Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone |
| 2021 | ICRA | A Scavenger Hunt for Service Robots. | Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, Peter Stone |
| 2021 | RoboCup | UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions. | Patrick MacAlpine, Bo Liu, William Macke, Caroline Wang, Peter Stone |
| 2020 | CoRL | The EMPATHIC Framework for Task Learning from Implicit Human Feedback. | Yuchen Cui, Qiping Zhang, W. Bradley Knox, Alessandro Allievi, Peter Stone, Scott Niekum |
| 2020 | CoRL | Learning to Improve Multi-Robot Hallway Navigation. | Jin Soo Park, Brian Tsang, Harel Yedidsion, Garrett Warnell, Daehyun Kyoung, Peter Stone |
| 2020 | ICML | Reducing Sampling Error in Batch Temporal Difference Learning. | Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone |
| 2020 | IJCAI | Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning. | Ishan Durugkar, Elad Liebman, Peter Stone |
| 2020 | IJCAI | A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork. | Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, Peter Stone |
| 2020 | IROS | Stochastic Grounded Action Transformation for Robot Learning in Simulation. | Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone |
| 2020 | IROS | Reinforced Grounded Action Transformation for Sim-to-Real Transfer. | Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone |
| 2020 | IROS | Deep R-Learning for Continual Area Sweeping. | Rishi Shah, Yuqian Jiang, Justin W. Hart, Peter Stone |
| 2020 | SIGdial | Learning and Reasoning for Robot Dialog and Navigation Tasks. | Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen |
| 2019 | AAAI | Selecting Compliant Agents for Opt-in Micro-Tolling. | Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone |
| 2019 | AAAI | Robust Motion Planning and Safety Benchmarking in Human Workspaces. | Shih-Yun Lo, Shani Alkoby, Peter Stone |
| 2019 | ICML | Importance Sampling Policy Evaluation with an Estimated Behavior Policy. | Josiah Hanna, Scott Niekum, Peter Stone |
| 2019 | IJCAI | Ad Hoc Teamwork With Behavior Switching Agents. | Manish Ravula, Shani Alkoby, Peter Stone |
| 2019 | IJCAI | Imitation Learning from Video by Leveraging Proprioception. | Faraz Torabi, Garrett Warnell, Peter Stone |
| 2019 | IJCAI | Recent Advances in Imitation Learning from Observation. | Faraz Torabi, Garrett Warnell, Peter Stone |
| 2019 | IJCAI | Leveraging Human Guidance for Deep Reinforcement Learning Tasks. | Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone |
| 2019 | IROS | Task-Motion Planning with Reinforcement Learning for Adaptable Mobile Service Robots. | Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone |
| 2019 | ICRA | Improving Grounded Natural Language Understanding through Human-Robot Dialog. | Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney |
| 2019 | RoboCup | UT Austin Villa: RoboCup 2019 3D Simulation League Competition and Technical Challenge Champions. | Patrick MacAlpine, Faraz Torabi, Brahma S. Pavse, Peter Stone |
| 2018 | AAAI | DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation. | Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh |
| 2018 | AAAI | Adversarial Goal Generation for Intrinsic Motivation. | Ishan Durugkar, Peter Stone |
| 2018 | AAAI | DIPD: Gaze-Based Intention Inference in Dynamic Environments. | Yu-Sian Jiang, Garrett Warnell, Peter Stone |
| 2018 | AAAI | Autonomous Model Management via Reinforcement Learning. | Elad Liebman, Eric Zavesky, Peter Stone |
| 2018 | AAAI | Traffic Optimization for a Mixture of Self-Interested and Compliant Agents. | Guni Sharon, Michael Albert, Tarun Rambha, Stephen D. Boyles, Peter Stone |
| 2018 | AAAI | Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. | Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone |
| 2018 | AAAI | Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. | Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone |
| 2018 | EMNLP | Learning a Policy for Opportunistic Active Learning. | Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney |
| 2018 | ICMI | Inferring User Intention using Gaze in Vehicles. | Yu-Sian Jiang, Garrett Warnell, Peter Stone |
| 2018 | IJCAI | Multi-modal Predicate Identification using Dynamically Learned Robot Controllers. | Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone |
| 2018 | IJCAI | Behavioral Cloning from Observation. | Faraz Torabi, Garrett Warnell, Peter Stone |
| 2018 | IROS | PRISM: Pose Registration for Integrated Semantic Mapping. | Justin W. Hart, Rishi Shah, Sean Kirmani, Nick Walker, Kathryn Baldauf, Nathan John, Peter Stone |
| 2018 | ISAIM | Enhanced Delta-tolling: Traffic Optimization via Policy Gradient Reinforcement Learning. | Hamid Mirzaei Buini, Guni Sharon, Stephen D. Boyles, Tony Givargis, Peter Stone |
| 2018 | ISAIM | Traffic Optimization For a Mixture of Self-interested and Compliant Agents. | Guni Sharon, Michael Albert, Tarun Rambha, Stephen D. Boyles, Peter Stone |
| 2018 | RO-MAN | Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability. | Rolando Fernandez, Nathan John, Sean Kirmani, Justin W. Hart, Jivko Sinapov, Peter Stone |
| 2018 | RO-MAN | A Study of Human-Robot Copilot Systems for En-route Destination Changing. | Yu-Sian Jiang, Garrett Warnell, Eduardo Munera, Peter Stone |
| 2018 | RoboCup | UT Austin Villa: RoboCup 2018 3D Simulation League Champions. | Patrick MacAlpine, Faraz Torabi, Brahma S. Pavse, John Sigmon, Peter Stone |
| 2017 | AAAI | Automated Design of Robust Mechanisms. | Michael Albert, Vincent Conitzer, Peter Stone |
| 2017 | AAAI | Grounded Action Transformation for Robot Learning in Simulation. | Josiah P. Hanna, Peter Stone |
| 2017 | AAAI | Grounded Action Transformation for Robot Learning in Simulation. | Josiah P. Hanna, Peter Stone |
| 2017 | AAAI | Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation. | Josiah P. Hanna, Peter Stone, Scott Niekum |
| 2017 | AAAI | Designing Better Playlists with Monte Carlo Tree Search. | Elad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, Peter Stone |
| 2017 | AAAI | Automatic Curriculum Graph Generation for Reinforcement Learning Agents. | Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone |
| 2017 | AAAI | Dynamically Constructed (PO)MDPs for Adaptive Robot Planning. | Shiqi Zhang, Piyush Khandelwal, Peter Stone |
| 2017 | CoRL | Opportunistic Active Learning for Grounding Natural Language Descriptions. | Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney |
| 2017 | EUMAS | Multiagent Learning Paradigms. | Karl Tuyls, Peter Stone |
| 2017 | ICML | Data-Efficient Policy Evaluation Through Behavior Policy Search. | Josiah P. Hanna, Philip S. Thomas, Peter Stone, Scott Niekum |
| 2017 | IJCAI | Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning. | Sanmit Narvekar, Jivko Sinapov, Peter Stone |
| 2017 | IROS | Leveraging commonsense reasoning and multimodal perception for robot spoken dialog systems. | Dongcai Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen |
| 2017 | RoboCup | UT Austin Villa: RoboCup 2017 3D Simulation League Competition and Technical Challenges Champions. | Patrick MacAlpine, Peter Stone |
| 2017 | RoboCup | Fast and Precise Black and White Ball Detection for RoboCup Soccer. | Jacob Menashe, Josh Kelle, Katie Genter, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone |
| 2016 | AAAI | What's Hot at RoboCup. | Peter Stone |
| 2016 | AAAI | Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market. | Daniel Urieli, Peter Stone |
| 2016 | AAAI | An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis. | Daniel Urieli, Peter Stone |
| 2016 | GECCO | Adaptation of Surrogate Tasks for Bipedal Walk Optimization. | Patrick MacAlpine, Elad Liebman, Peter Stone |
| 2016 | ICML | On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search. | Piyush Khandelwal, Elad Liebman, Scott Niekum, Peter Stone |
| 2016 | IJCAI | Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput. | Guni Sharon, Josiah Hanna, Tarun Rambha, Michael Albert, Peter Stone, Stephen D. Boyles |
| 2016 | IJCAI | Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors. | Jivko Sinapov, Priyanka Khante, Maxwell Svetlik, Peter Stone |
| 2016 | IJCAI | Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". | Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney |
| 2016 | IJCAI | Robot Scavenger Hunt: A Standardized Framework for Evaluating Intelligent Mobile Robots. | Shiqi Zhang, Dongcai Lu, Xiaoping Chen, Peter Stone |
| 2016 | RoboCup | UT Austin Villa RoboCup 3D Simulation Base Code Release. | Patrick MacAlpine, Peter Stone |
| 2016 | RoboCup | Prioritized Role Assignment for Marking. | Patrick MacAlpine, Peter Stone |
| 2016 | RoboCup | UT Austin Villa: RoboCup 2016 3D Simulation League Competition and Technical Challenges Champions. | Patrick MacAlpine, Peter Stone |
| 2015 | AAAI | Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork. | Samuel Barrett, Peter Stone |
| 2015 | AAAI | Placing Influencing Agents in a Flock. | Katie Genter, Peter Stone |
| 2015 | AAAI | The Impact of Determinism on Learning Atari 2600 Games. | Matthew J. Hausknecht, Peter Stone |
| 2015 | AAAI | UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning. | Patrick MacAlpine, Mike Depinet, Peter Stone |
| 2015 | AAAI | SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-Makespan for Formational Positioning. | Patrick MacAlpine, Eric Price, Peter Stone |
| 2015 | AAAI | CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot. | Shiqi Zhang, Peter Stone |
| 2015 | IJCAI | When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing. | Fei Fang, Peter Stone, Milind Tambe |
| 2015 | IJCAI | Learning to Interpret Natural Language Commands through Human-Robot Dialog. | Jesse Thomason, Shiqi Zhang, Raymond J. Mooney, Peter Stone |
| 2015 | IROS | Benchmarking robot cooperation without pre-coordination in the RoboCup Standard Platform League drop-in player competition. | Katie Genter, Tim Laue, Peter Stone |
| 2015 | LPNMR | Mobile Robot Planning Using Action Language | Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, Peter Stone |
| 2015 | RoboCup | A Study of Layered Learning Strategies Applied to Individual Behaviors in Robot Soccer. | David Leonardo Leottau, Javier Ruiz-del-Solar, Patrick MacAlpine, Peter Stone |
| 2015 | RoboCup | UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions. | Patrick MacAlpine, Josiah Hanna, Jason Liang, Peter Stone |
| 2014 | AAAI | TacTex'13: A Champion Adaptive Power Trading Agent. | Daniel Urieli, Peter Stone |
| 2014 | ECAI | Communicating with Unknown Teammates. | Samuel Barrett, Noa Agmon, Noam Hazon, Sarit Kraus, Peter Stone |
| 2014 | IROS | The RoboCup 2013 drop-in player challenges: Experiments in ad hoc teamwork. | Patrick MacAlpine, Katie Genter, Samuel Barrett, Peter Stone |
| 2014 | RoboCup | Keyframe Sampling, Optimization, and Behavior Integration: Towards Long-Distance Kicking in the RoboCup 3D Simulation League. | Mike Depinet, Patrick MacAlpine, Peter Stone |
| 2014 | RoboCup | UT Austin Villa: RoboCup 2014 3D Simulation League Competition and Technical Challenge Champions. | Patrick MacAlpine, Mike Depinet, Jason Liang, Peter Stone |
| 2013 | AAAI | Teamwork with Limited Knowledge of Teammates. | Samuel Barrett, Peter Stone, Sarit Kraus, Avi Rosenfeld |
| 2013 | IUI | Learning non-myopically from human-generated reward. | W. Bradley Knox, Peter Stone |
| 2013 | IUI | Teaching agents with human feedback: a demonstration of the TAMER framework. | W. Bradley Knox, Peter Stone, Cynthia Breazeal |
| 2013 | RoboCup | The 2012 UT Austin Villa Code Release. | Samuel Barrett, Katie Long Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, Peter Stone |
| 2013 | RoboCup | The Open-Source TEXPLORE Code Release for Reinforcement Learning on Robots. | Todd Hester, Peter Stone |
| 2012 | AAAI | Positioning to Win: A Dynamic Role Assignment and Formation Positioning System. | Patrick MacAlpine, Francisco Barrera, Peter Stone |
| 2012 | AAAI | Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the RoboCup 2011 3D Simulation Competition. | Patrick MacAlpine, Samuel Barrett, Daniel Urieli, Victor Vu, Peter Stone |
| 2012 | AAMAS | Leading ad hoc agents in joint action settings with multiple teammates. | Noa Agmon, Peter Stone |
| 2012 | AAMAS | An analysis framework for ad hoc teamwork tasks. | Samuel Barrett, Peter Stone |
| 2012 | AAMAS | Role selection in ad hoc teamwork. | Katie Long Genter, Noa Agmon, Peter Stone |
| 2012 | AAMAS | Reinforcement learning from simultaneous human and MDP reward. | W. Bradley Knox, Peter Stone |
| 2012 | AAMAS | UT Austin Villa 2011: a champion agent in the RoboCup 3D soccer simulation competition. | Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae Stiurca, Victor Vu, Peter Stone |
| 2012 | GECCO | HyperNEAT-GGP: a hyperNEAT-based atari general game player. | Matthew J. Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone |
| 2012 | ICML | PAC Subset Selection in Stochastic Multi-armed Bandits. | Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, Peter Stone |
| 2012 | ICRA | On coordination in practical multi-robot patrol. | Noa Agmon, Chien-Liang Fok, Yehuda Emaliah, Peter Stone, Christine Julien, Sriram Vishwanath |
| 2012 | ICRA | Setpoint scheduling for autonomous vehicle controllers. | Tsz-Chiu Au, Michael J. Quinlan, Peter Stone |
| 2012 | ICRA | RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture for robot control. | Todd Hester, Michael J. Quinlan, Peter Stone |
| 2012 | IROS | Evasion planning for autonomous vehicles at intersections. | Tsz-Chiu Au, Chien-Liang Fok, Sriram Vishwanath, Christine Julien, Peter Stone |
| 2012 | IROS | Video: RoboCup robot soccer history 1997 - 2011. | Manuela M. Veloso, Peter Stone |
| 2012 | RO-MAN | Reinforcement learning from human reward: Discounting in episodic tasks. | W. Bradley Knox, Peter Stone |
| 2012 | RoboCup | UT Austin Villa 2012: Standard Platform League World Champions. | Samuel Barrett, Katie Long Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, Peter Stone |
| 2012 | RoboCup | Positioning to Win: A Dynamic Role Assignment and Formation Positioning System. | Patrick MacAlpine, Francisco Barrera, Peter Stone |
| 2012 | RoboCup | UT Austin Villa: RoboCup 2012 3D Simulation League Champion. | Patrick MacAlpine, Nick Collins, Adrian Lopez-Mobilia, Peter Stone |
| 2011 | AAAI | Leading Multiple Ad Hoc Teammates in Joint Action Settings. | Noa Agmon, Peter Stone |
| 2011 | AAAI | Multiagent Patrol Generalized to Complex Environmental Conditions. | Noa Agmon, Daniel Urieli, Peter Stone |
| 2011 | AAAI | Enforcing Liveness in Autonomous Traffic Management. | Tsz-Chiu Au, Neda Shahidi, Peter Stone |
| 2011 | AAAI | Ad Hoc Teamwork in Variations of the Pursuit Domain. | Samuel Barrett, Peter Stone |
| 2011 | AAAI | Role-Based Ad Hoc Teamwork. | Katie Long Genter, Noa Agmon, Peter Stone |
| 2011 | AAAI | Role-Based Ad Hoc Teamwork. | Katie Long Genter, Noa Agmon, Peter Stone |
| 2011 | AAAI | Comparing Agents' Success against People in Security Domains. | Raz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, Peter Stone |
| 2011 | ICML | Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree. | Doran Chakraborty, Peter Stone |
| 2011 | IROS | Autonomous Intersection Management: Multi-intersection optimization. | Matthew J. Hausknecht, Tsz-Chiu Au, Peter Stone |
| 2011 | RoboCup | WrightEagle and UT Austin Villa: RoboCup 2011 Simulation League Champions. | Aijun Bai, Xiaoping Chen, Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Peter Stone |
| 2011 | RoboCup | A Low Cost Ground Truth Detection System for RoboCup Using the Kinect. | Piyush Khandelwal, Peter Stone |
| 2010 | AAAI | Motion Planning Algorithms for Autonomous Intersection Management. | Tsz-Chiu Au, Peter Stone |
| 2010 | AAAI | Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination. | Peter Stone, Gal A. Kaminka, Sarit Kraus, Jeffrey S. Rosenschein |
| 2010 | ICML | Convergence, Targeted Optimality, and Safety in Multiagent Learning. | Doran Chakraborty, Peter Stone |
| 2010 | ICML | Efficient Selection of Multiple Bandit Arms: Theory and Practice. | Shivaram Kalyanakrishnan, Peter Stone |
| 2010 | ICML | Boosting for Regression Transfer. | David Pardoe, Peter Stone |
| 2010 | ICRA | Generalized model learning for Reinforcement Learning on a humanoid robot. | Todd Hester, Michael J. Quinlan, Peter Stone |
| 2010 | IROS | Bringing simulation to life: A mixed reality autonomous intersection. | Michael J. Quinlan, Tsz-Chiu Au, Jesse Zhu, Nicolae Stiurca, Peter Stone |
| 2010 | RoboCup | Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker. | Matthew J. Hausknecht, Peter Stone |
| 2009 | IROS | Improving particle filter performance using SSE instructions. | Peter Djeu, Michael J. Quinlan, Peter Stone |
| 2009 | RoboCup | Three Humanoid Soccer Platforms: Comparison and Synthesis. | Shivaram Kalyanakrishnan, Todd Hester, Michael J. Quinlan, Yinon Bentor, Peter Stone |
| 2009 | RoboCup | Learning Complementary Multiagent Behaviors: A Case Study. | Shivaram Kalyanakrishnan, Peter Stone |
| 2008 | ICML | Online kernel selection for Bayesian reinforcement learning. | Joseph Reisinger, Peter Stone, Risto Miikkulainen |
| 2008 | ICRA | Negative information and line observations for Monte Carlo localization. | Todd Hester, Peter Stone |
| 2008 | ICRA | Person recognition on a Segway Robot: A video of UT Austin Villa Robocup@Home 2007 finals demonstration. | W. Bradley Knox, Juhyun Lee, Peter Stone |
| 2008 | ICRA | Person tracking on a mobile robot with heterogeneous inter-characteristic feedback. | Juhyun Lee, Peter Stone |
| 2008 | ICRA | Maximum likelihood estimation of sensor and action model functions on a mobile robot. | Daniel Stronger, Peter Stone |
| 2008 | RoboCup | Domestic Interaction on a Segway Base. | W. Bradley Knox, Juhyun Lee, Peter Stone |
| 2007 | AAAI | Representation Transfer via Elaboration. | Matthew E. Taylor, Peter Stone |
| 2007 | AAAI | Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison. | Matthew E. Taylor, Shimon Whiteson, Peter Stone |
| 2007 | ICML | Cross-domain transfer for reinforcement learning. | Matthew E. Taylor, Peter Stone |
| 2007 | IJCAI | General Game Learning Using Knowledge Transfer. | Bikramjit Banerjee, Peter Stone |
| 2007 | IJCAI | Sharing the Road: Autonomous Vehicles Meet Human Drivers. | Kurt M. Dresner, Peter Stone |
| 2007 | IJCAI | Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination. | Mohan Sridharan, Peter Stone |
| 2007 | IJCAI | Learning and Multiagent Reasoning for Autonomous Agents. | Peter Stone |
| 2007 | IJCAI | Machine Learning for On-Line Hardware Reconfiguration. | Jonathan Wildstrom, Peter Stone, Emmett Witchel, Michael Dahlin |
| 2007 | IROS | Global action selection for illumination invariant color modeling. | Mohan Sridharan, Peter Stone |
| 2007 | ICRA | A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot. | Daniel Stronger, Peter Stone |
| 2007 | RoboCup | Instance-Based Action Models for Fast Action Planning. | Mazda Ahmadi, Peter Stone |
| 2007 | RoboCup | A Neural Network-Based Approach to Robot Motion Control. | Uli Grasemann, Daniel Stronger, Peter Stone |
| 2007 | RoboCup | Model-Based Reinforcement Learning in a Complex Domain. | Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu |
| 2006 | AAAI | Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots. | Mazda Ahmadi, Peter Stone |
| 2006 | AAAI | Biconnected Structure for Multi-Robot Systems. | Mazda Ahmadi, Peter Stone |
| 2006 | AAAI | Traffic Intersections of the Future. | Kurt M. Dresner, Peter Stone |
| 2006 | AAAI | Making Autonomous Intersection Management Backwards-Compatible. | Kurt M. Dresner, Peter Stone |
| 2006 | AAAI | Know Thine Enemy: A Champion RoboCup Coach Agent. | Gregory Kuhlmann, William B. Knox, Peter Stone |
| 2006 | AAAI | Automatic Heuristic Construction in a Complete General Game Player. | Gregory Kuhlmann, Peter Stone |
| 2006 | AAAI | Automatic Heuristic Construction for General Game Playing. | Gregory Kuhlmann, Peter Stone |
| 2006 | AAAI | Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping. | Yaxin Liu, Peter Stone |
| 2006 | AAAI | TacTex-05: A Champion Supply Chain Management Agent. | David Pardoe, Peter Stone |
| 2006 | AAAI | Expectation-Based Vision for Self-Localization on a Legged Robot. | Daniel Stronger, Peter Stone |
| 2006 | AAAI | Inter-Task Action Correlation for Reinforcement Learning Tasks. | Matthew E. Taylor, Peter Stone |
| 2006 | AAAI | Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. | Shimon Whiteson, Peter Stone |
| 2006 | GECCO | Designing safe, profitable automated stock trading agents using evolutionary algorithms. | Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, Benjamin Kuipers |
| 2006 | GECCO | Comparing evolutionary and temporal difference methods in a reinforcement learning domain. | Matthew E. Taylor, Shimon Whiteson, Peter Stone |
| 2006 | GECCO | On-line evolutionary computation for reinforcement learning in stochastic domains. | Shimon Whiteson, Peter Stone |
| 2006 | ICARCV | Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data. | Mohan Sridharan, Peter Stone |
| 2006 | ICRA | A Multi-robot System for Continuous Area Sweeping Tasks. | Mazda Ahmadi, Peter Stone |
| 2006 | ICTAI | Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents. | Daniel Stronger, Peter Stone |
| 2006 | RoboCup | The Chin Pinch: A Case Study in Skill Learning on a Legged Robot. | Peggy Fidelman, Peter Stone |
| 2006 | RoboCup | Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study. | Shivaram Kalyanakrishnan, Yaxin Liu, Peter Stone |
| 2006 | RoboCup | Autonomous Learning of Stable Quadruped Locomotion. | Manish Saggar, Thomas D'Silva, Nate Kohl, Peter Stone |
| 2006 | RoboCup | Autonomous Planned Color Learning on a Legged Robot. | Mohan Sridharan, Peter Stone |
| 2006 | RoboCup | Selective Visual Attention for Object Detection on a Legged Robot. | Daniel Stronger, Peter Stone |
| 2005 | AAAI | Improving Action Selection in MDP's via Knowledge Transfer. | Alexander A. Sherstov, Peter Stone |
| 2005 | AAAI | Autonomous Color Learning on a Mobile Robot. | Mohan Sridharan, Peter Stone |
| 2005 | AAAI | Value Functions for RL-Based Behavior Transfer: A Comparative Study. | Matthew E. Taylor, Peter Stone, Yaxin Liu |
| 2005 | GECCO | Automatic feature selection in neuroevolution. | Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl |
| 2005 | IJCAI | State Abstraction Discovery from Irrelevant State Variables. | Nicholas K. Jong, Peter Stone |
| 2005 | IROS | Real-time vision on a mobile robot platform. | Mohan Sridharan, Peter Stone |
| 2005 | ICRA | Practical Vision-Based Monte Carlo Localization on a Legged Robot. | Mohan Sridharan, Gregory Kuhlmann, Peter Stone |
| 2005 | ICRA | Simultaneous Calibration of Action and Sensor Models on a Mobile Robot. | Daniel Stronger, Peter Stone |
| 2005 | RoboCup | Towards Eliminating Manual Color Calibration at RoboCup. | Mohan Sridharan, Peter Stone |
| 2005 | RoboCup | Keepaway Soccer: From Machine Learning Testbed to Benchmark. | Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, Yaxin Liu |
| 2004 | AAAI | Machine Learning for Fast Quadrupedal Locomotion. | Nate Kohl, Peter Stone |
| 2004 | AAAI | Towards Autonomic Computing: Adaptive Job Routing and Scheduling. | Shimon Whiteson, Peter Stone |
| 2004 | ICRA | Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion. | Nate Kohl, Peter Stone |
| 2004 | RoboCup | The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach. | Gregory Kuhlmann, Peter Stone, Justin Lallinger |
| 2004 | RoboCup | Towards Illumination Invariance in the Legged League. | Mohan Sridharan, Peter Stone |
| 2004 | RoboCup | A Model-Based Approach to Robot Joint Control. | Daniel Stronger, Peter Stone |
| 2003 | GECCO | Evolving Keepaway Soccer Players through Task Decomposition. | Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone |
| 2003 | ICML | Learning Predictive State Representations. | Satinder Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, Peter Stone |
| 2003 | SMC | Progress in learning 3 vs. 2 keepaway. | Gregory Kuhlmann, Peter Stone |
| 2003 | RoboCup | Progress in Learning 3 vs. 2 Keepaway | Gregory Kuhlmann, Peter Stone |
| 2003 | RoboCup | RoboCup in Higher Education: A Preliminary Report. | Elizabeth Sklar, Simon Parsons, Peter Stone |
| 2003 | RoboCup | RoboCup as an Introduction to CS Research. | Peter Stone |
| 2002 | AAAI | The 2001 Trading Agent Competition. | Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman |
| 2002 | ICML | Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. | Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, Jnos A. Csirik |
| 2002 | RoboCup | Multiagent Competitions and Research: Lessons from RoboCup and TAC. | Peter Stone |
| 2001 | ICML | Scaling Reinforcement Learning toward RoboCup Soccer. | Peter Stone, Richard S. Sutton |
| 2001 | RoboCup | ATTUnited-2001: Using Heterogeneous Players. | Peter Stone |
| 2001 | RoboCup | Keepaway Soccer: A Machine Learning Testbed. | Peter Stone, Richard S. Sutton |
| 2000 | AAAI | Cobot in LambdaMOO: A Social Statistics Agent. | Charles Lee Isbell Jr., Michael J. Kearns, David P. Kormann, Satinder Singh, Peter Stone |
| 2000 | AAAI | Defining and Using Ideal Teammate and Opponent Agent Models. | Peter Stone, Patrick Riley, Manuela M. Veloso |
| 2000 | ICML | TPOT-RL Applied to Network Routing. | Peter Stone |
| 2000 | RoboCup | Keeping the Ball from CMUnited-99. | David A. McAllester, Peter Stone |
| 2000 | RoboCup | ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League. | Patrick Riley, Peter Stone, David A. McAllester, Manuela M. Veloso |
| 2000 | RoboCup | Overview of RoboCup-2000. | Peter Stone, Minoru Asada, Tucker R. Balch, Masahiro Fujita, Gerhard K. Kraetzschmar, Henrik Hautop Lund, Paul Scerri, Satoshi Tadokoro, Gordon F. Wyeth |
| 2000 | RoboCup | Reinforcement Learning for 3 vs. 2 Keepaway | Peter Stone, Richard S. Sutton, Satinder Singh |
| 1999 | AAAI | CMUnited-98: A Team of Robotic Soccer Agents. | Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone |
| 1999 | RoboCup | The CMUnited-99 Champion Simulator Team. | Peter Stone, Patrick Riley, Manuela M. Veloso |
| 1999 | RoboCup | Layered Learning and Flexible Teamwork in RoboCup Simulation Agents. | Peter Stone, Manuela M. Veloso |
| 1999 | RoboCup | Overview of RoboCup-99. | Manuela M. Veloso, Hiroaki Kitano, Enrico Pagello, Gerhard K. Kraetzschmar, Peter Stone, Tucker R. Balch, Minoru Asada, Silvia Coradeschi, Lars Karlsson, Masahiro Fujita |
| 1998 | RoboCup | Team-Partitioned, Opaque-Transition Reinforced Learning. | Peter Stone, Manuela M. Veloso |
| 1998 | RoboCup | The CMUnited-98 Champion Simulator Team. | Peter Stone, Manuela M. Veloso, Patrick Riley |
| 1998 | RoboCup | The CMUnited-98 Small-Robot Team. | Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone |
| 1997 | AAAI | Layered Learning in Multiagent Systems. | Peter Stone |
| 1997 | IJCAI | The RoboCup Synthetic Agent Challenge 97. | Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada |
| 1997 | RoboCup | The RoboCup Physical Agent Challenge: Goals and Protocols for Phase 1. | Minoru Asada, Peter Stone, Hiroaki Kitano, Alexis Drogoul, Dominique Duhaut, Manuela M. Veloso, Hajime Asama, Sho'ji Suzuki |
| 1997 | RoboCup | The RoboCup Synthetic Agent Challenge 97. | Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada |
| 1997 | RoboCup | Using Decision Tree Confidence Factors for Multiagent Control. | Peter Stone, Manuela M. Veloso |
| 1997 | RoboCup | The CMUnited-97 Simulator Team. | Peter Stone, Manuela M. Veloso |
| 1997 | RoboCup | The CMUnited-97 Small Robot Team. | Manuela M. Veloso, Peter Stone, Kwun Han, Sorin Achim |