Matthew E. Taylor
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
17
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | An LLM-Guided Tutoring System for Social Skills Training. | Michael Guevarra, Indronil Bhattacharjee, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, Alan Tay |
| 2025 | ICLR | Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning. | Calarina Muslimani, Matthew E. Taylor |
| 2025 | ICML | Model-Based Exploration in Monitored Markov Decision Processes. | Alireza Kazemipour, Matthew E. Taylor, Michael Bowling |
| 2025 | IJCAI | The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning. | Sheila Schoepp, Masoud Jafaripour, Yingyue Cao, Tianpei Yang, Fatemeh Abdollahi, Shadan Golestan, Zahin Sufiyan, Osmar R. Zaane, Matthew E. Taylor |
| 2024 | AAAI | PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. | Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor |
| 2024 | AAAI | A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. | Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor |
| 2024 | IROS | Local Linearity is All You Need (in Data-Driven Teleoperation). | Michael Przystupa, Gauthier Gidel, Matthew E. Taylor, Martin Jgersand, Justus H. Piater, Samuele Tosatto |
| 2023 | AAAI | Augmenting Flight Training with AI to Efficiently Train Pilots. | Michael Guevarra, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, Alan Tay |
| 2023 | AAAI | Learning to Shape Rewards Using a Game of Two Partners. | David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang |
| 2023 | AAAI | Model AI Assignments 2023. | Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalin, Cynthia Breazeal, Matthew E. Taylor, Michele Donini, Erin J. Talvitie, Charlie Pilgrim, Paolo Turrini, James Maher, Matthew Boutell, Justin Wilson, Narges Norouzi, Jonathan Scott |
| 2023 | AIED | C | Calarina Muslimani, Saba Gul, Matthew E. Taylor, Carrie Demmans Epp, Christabel Wayllace |
| 2023 | FIE | Innovating AI Leadership Education. | Xiaoxue Du, Sharifa Alghowinem, Matthew E. Taylor, Kate Darling, Cynthia Breazeal |
| 2023 | IJCAI | Can You Improve My Code? Optimizing Programs with Local Search. | Fatemeh Abdollahi, Saqib Ameen, Matthew E. Taylor, Levi H. S. Lelis |
| 2023 | IJCAI | Multi-Agent Advisor Q-Learning (Extended Abstract). | Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley |
| 2022 | AAAI | Decentralized Mean Field Games. | Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart |
| 2022 | ICML | PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. | Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang |
| 2022 | UAI | Cross-domain adaptive transfer reinforcement learning based on state-action correspondence. | Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor |
| 2021 | AAAI | Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery. | Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor, Sarath Chandar |
| 2020 | AAAI | Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract). | Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor |
| 2020 | AAAI | Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. | Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor |
| 2019 | IJCAI | Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations. | Zhaodong Wang, Matthew E. Taylor |
| 2019 | IJCAI | Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control. | Kenny Young, Baoxiang Wang, Matthew E. Taylor |
| 2018 | IJCAI | Autonomously Reusing Knowledge in Multiagent Reinforcement Learning. | Felipe Leno da Silva, Matthew E. Taylor, Anna Helena Reali Costa |
| 2018 | IJCAI | Improving Reinforcement Learning with Human Input. | Matthew E. Taylor |
| 2017 | AAAI | Scalable Multitask Policy Gradient Reinforcement Learning. | Salam El Bsat, Haitham Bou-Ammar, Matthew E. Taylor |
| 2017 | AAAI | AI Projects for Computer Science Capstone Classes (Extended Abstract). | Matthew E. Taylor, Sakire Arslan Ay |
| 2017 | AAAI | Solar Decathlon Competition: Towards a Solar-Powered Smart Home. | Amanda Leah Zulas, Kaitlyn I. Franz, Darrin Griechen, Matthew E. Taylor |
| 2017 | ICML | Interactive Learning from Policy-Dependent Human Feedback. | James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman |
| 2017 | IJCAI | Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects. | Ariel Rosenfeld, Matthew E. Taylor, Sarit Kraus |
| 2017 | IJCAI | Improving Reinforcement Learning with Confidence-Based Demonstrations. | Zhaodong Wang, Matthew E. Taylor |
| 2016 | AAAI | Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. | Pablo Hernandez-Leal, Matthew E. Taylor, Benjamin Rosman, Luis Enrique Sucar, Enrique Munoz de Cote |
| 2016 | IJCAI | Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer. | Yusen Zhan, Haitham Bou-Ammar, Matthew E. Taylor |
| 2016 | IROS | Lifelong learning for disturbance rejection on mobile robots. | David Isele, Jos-Marcio Luna, Eric Eaton, Gabriel Victor de la Cruz, James Irwin, Brandon Kallaher, Matthew E. Taylor |
| 2015 | AAAI | Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment. | Haitham Bou-Ammar, Eric Eaton, Paul Ruvolo, Matthew E. Taylor |
| 2015 | IJCAI | Reinforcement Learning from Demonstration through Shaping. | Tim Brys, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Matthew E. Taylor, Ann Now |
| 2015 | IUI | Towards Integrating Real-Time Crowd Advice with Reinforcement Learning. | Gabriel Victor de la Cruz, Bei Peng, Walter S. Lasecki, Matthew E. Taylor |
| 2014 | AAAI | Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence. | Tim Brys, Ann Now, Daniel Kudenko, Matthew E. Taylor |
| 2014 | AAAI | A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback. | Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts |
| 2014 | ECAI | Using Ensemble Techniques and Multi-Objectivization to Solve Reinforcement Learning Problems. | Tim Brys, Matthew E. Taylor, Ann Now |
| 2014 | ICML | Online Multi-Task Learning for Policy Gradient Methods. | Haitham Bou-Ammar, Eric Eaton, Paul Ruvolo, Matthew E. Taylor |
| 2014 | IJCNN | Multi-objectivization of reinforcement learning problems by reward shaping. | Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko, Ann Now |
| 2014 | RO-MAN | Learning something from nothing: Leveraging implicit human feedback strategies. | Robert Tyler Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts |
| 2012 | AAMAS | Reinforcement learning transfer via sparse coding. | Haitham Bou-Ammar, Karl Tuyls, Matthew E. Taylor, Kurt Driessens, Gerhard Weiss |
| 2012 | AAMAS | Towards student/teacher learning in sequential decision tasks. | Lisa Torrey, Matthew E. Taylor |
| 2011 | EUMAS | Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping. | Haitham Bou-Ammar, Matthew E. Taylor, Karl Tuyls, Gerhard Weiss |
| 2010 | AAAI | Teamwork and Coordination under Model Uncertainty in DEC-POMDPs. | Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe |
| 2010 | AAAI | Evolving Compiler Heuristics to Manage Communication and Contention. | Matthew E. Taylor, Katherine E. Coons, Behnam Robatmili, Bertrand A. Maher, Doug Burger, Kathryn S. McKinley |
| 2009 | IJCAI | DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks. | Manish Jain, Matthew E. Taylor, Milind Tambe, Makoto Yokoo |
| 2007 | AAAI | Autonomous Inter-Task Transfer in Reinforcement Learning Domains. | Matthew E. Taylor |
| 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 | FlAIRS | Autonomous Classification of Knowledge into an Ontology. | Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael Witbrock |
| 2007 | FlAIRS | Guiding Inference with Policy Search Reinforcement Learning. | Matthew E. Taylor, Cynthia Matuszek, Pace Reagan Smith, Michael Witbrock |
| 2007 | ICML | Cross-domain transfer for reinforcement learning. | Matthew E. Taylor, Peter Stone |
| 2006 | AAAI | Inter-Task Action Correlation for Reinforcement Learning Tasks. | Matthew E. Taylor, Peter Stone |
| 2006 | GECCO | Comparing evolutionary and temporal difference methods in a reinforcement learning domain. | Matthew E. Taylor, Shimon Whiteson, Peter Stone |
| 2005 | AAAI | Value Functions for RL-Based Behavior Transfer: A Comparative Study. | Matthew E. Taylor, Peter Stone, Yaxin Liu |
| 2005 | RoboCup | Keepaway Soccer: From Machine Learning Testbed to Benchmark. | Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, Yaxin Liu |