Mykel J. Kochenderfer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
95
Venues
27
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*ICRA22 papers
- AIROS16 papers
- A*AAAI15 papers
- CCoDIT9 papers
- A*IJCAI7 papers
- A*ICML2 papers
- AUAI2 papers
- A*CAV2 papers
- BICAART2 papers
- CAIES1 paper
- AECAI1 paper
- A*EMNLP1 paper
- BCBMS1 paper
- A*ICAPS1 paper
- AWACV1 paper
- CFUSION1 paper
- UnrankedCoRL1 paper
- ADSN1 paper
- CICMLA1 paper
- A*ICLR1 paper
- ASDM1 paper
- BCogSci1 paper
- NationalWSC1 paper
- BDSAA1 paper
- BNCA1 paper
- BDCC1 paper
- BEUROGP1 paper
Papers
95 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Efficient Multiagent Planning via Shared Action Suggestions. | Dylan M. Asmar, Mykel J. Kochenderfer |
| 2025 | AAAI | Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms. | Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer |
| 2025 | AAAI | Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows. | Liam Anthony Kruse, Alexandros E. Tzikas, Harrison Delecki, Mansur M. Arief, Mykel J. Kochenderfer |
| 2025 | AIES | An Adaptive Responsible AI Governance Framework for Decentralized Organizations. | Kiana Jafari Meimandi, Anka Reuel, Gabriela Arnguiz-Dias, Hatim Rahama, Ala-Eddine Ayadi, Xavier Boullier, Jrmy Verdo, Louis Montanie, Mykel J. Kochenderfer |
| 2025 | CoDIT | Integrating Graph and Recurrent Neural Networks for Spatiotemporal Reasoning. | Victoria Magdalena Dax, Zhi Li, Xiaowei Zhang, Hemabh Shekhar, Jiachen Li, Mykel J. Kochenderfer |
| 2025 | CoDIT | Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals. | Harrison Delecki, Sydney M. Katz, Mykel J. Kochenderfer |
| 2025 | CoDIT | Entropy-regularized Point-based Value Iteration. | Harrison Delecki, Marcell Vazquez-Chanlatte, Esen Yel, Kyle Hollins Wray, Tomer Arnon, Stefan J. Witwicki, Mykel J. Kochenderfer |
| 2025 | CoDIT | Model Identification Adaptive Control with ρ-POMDP Planning. | Michelle Ho, Arec L. Jamgochian, Mykel J. Kochenderfer |
| 2025 | CoDIT | Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals. | Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer |
| 2025 | CoDIT | Distributionally Robust Control with Constraints on Linear Unidimensional Projections. | Alexandros E. Tzikas, Lukas Fiechtner, Arec L. Jamgochian, Mykel J. Kochenderfer |
| 2025 | CoDIT | Improving the Resilience of Quadrotors in Underground Environments by Combining Learning-based and Safety Controllers. | Isaac Ronald Ward, Mark Paral, Kristopher Riordan, Mykel J. Kochenderfer |
| 2025 | ECAI | LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool. | Marc R. Schlichting, Vale Rasmussen, Heba Alazzeh, Houjun Liu, Kiana Jafari Meimandi, Amelia F. Hardy, Dylan M. Asmar, Mykel J. Kochenderfer |
| 2025 | EMNLP | ASTPrompter: Preference-Aligned Automated Language Model Red-Teaming to Generate Low-Perplexity Unsafe Prompts. | Amelia Hardy, Houjun Liu, Allie Griffith, Bernard Lange, Duncan Eddy, Mykel J. Kochenderfer |
| 2025 | ICRA | SayComply: Grounding Field Robotic Tasks in Operational Compliance Through Retrieval-Based Language Models. | Muhammad Fadhil Ginting, Dong-Ki Kim, Sung-Kyun Kim, Bandi Jai Krishna, Mykel J. Kochenderfer, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi |
| 2024 | CBMS | Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. | Isaac Ronald Ward, Dylan M. Asmar, Mansur M. Arief, Jana Krystofova Mike, Mykel J. Kochenderfer |
| 2024 | CoDIT | Trajectory Optimization for Adaptive Informative Path Planning with Multimodal Sensing. | Joshua Ott, Edward Balaban, Mykel J. Kochenderfer |
| 2024 | CoDIT | Risk-aware Meta-level Decision Making for Exploration Under Uncertainty. | Joshua Ott, Sung-Kyun Kim, Amanda Bouman, Oriana Peltzer, Mamoru Sobue, Harrison Delecki, Mykel J. Kochenderfer, Joel Burdick, Ali-akbar Agha-mohammadi |
| 2024 | ICAPS | Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent. | Paula Stocco, Suhas Chundi, Arec L. Jamgochian, Mykel J. Kochenderfer |
| 2024 | IJCAI | Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint). | Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary Sunberg |
| 2024 | IJCAI | ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. | Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer |
| 2024 | ICRA | Constrained Hierarchical Monte Carlo Belief-State Planning. | Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer |
| 2024 | ICRA | Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. | Bernard Lange, Jiachen Li, Mykel J. Kochenderfer |
| 2024 | IROS | Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments. | Muhammad Fadhil Ginting, David D. Fan, Sung-Kyun Kim, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi |
| 2024 | WACV | Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. | Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel J. Kochenderfer, Chiho Choi, Behzad Dariush |
| 2023 | FUSION | Deep Normalizing Flows for State Estimation. | Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer |
| 2023 | ICRA | Model Predictive Optimized Path Integral Strategies. | Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer |
| 2023 | ICRA | Fast and Scalable Signal Inference for Active Robotic Source Seeking. | Christopher E. Denniston, Oriana Peltzer, Joshua Ott, Sangwoo Moon, Sung-Kyun Kim, Gaurav S. Sukhatme, Mykel J. Kochenderfer, Mac Schwager, Ali-akbar Agha-mohammadi |
| 2023 | ICRA | Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs. | Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott, Sunggoo Jung, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi |
| 2023 | ICRA | SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. | Arec L. Jamgochian, Etienne Bhrle, Johannes Fischer, Mykel J. Kochenderfer |
| 2023 | ICRA | Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing. | Joshua Ott, Edward Balaban, Mykel J. Kochenderfer |
| 2022 | AAAI | A Gray Box Model for Characterizing Driver Behavior. | Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer |
| 2022 | AAAI | Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. | Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer |
| 2022 | AAAI | Interpretable Local Tree Surrogate Policies. | John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer |
| 2022 | AAAI | Using Adaptive Stress Testing to Identify Paths to Ethical Dilemmas in Autonomous Systems. | Ann-Katrin Reuel, Mark Koren, Anthony Corso, Mykel J. Kochenderfer |
| 2022 | CoRL | Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction. | Masha Itkina, Mykel J. Kochenderfer |
| 2022 | DSN | Autonomous Attack Mitigation for Industrial Control Systems. | John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer |
| 2022 | IJCAI | Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract). | Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer |
| 2022 | ICRA | Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling. | Victoria Magdalena Dax, Mykel J. Kochenderfer, Ransalu Senanayake, Umair Ibrahim |
| 2022 | ICRA | Multi-Agent Variational Occlusion Inference Using People as Sensors. | Masha Itkina, Ye-Ji Mun, Katherine Driggs-Campbell, Mykel J. Kochenderfer |
| 2022 | ICRA | Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. | Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer |
| 2022 | IROS | Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments. | Amanda Bouman, Joshua Ott, Sung-Kyun Kim, Kenny Chen, Mykel J. Kochenderfer, Brett T. Lopez, Ali-akbar Agha-mohammadi, Joel Burdick |
| 2022 | IROS | How Do We Fail? Stress Testing Perception in Autonomous Vehicles. | Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer |
| 2022 | IROS | Capability-Aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments. | Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi |
| 2022 | IROS | FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget. | Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim, Ransalu Senanayake, Joshua Ott, Harrison Delecki, Mamoru Sobue, Mykel J. Kochenderfer, Mac Schwager, Joel Burdick, Ali-akbar Agha-mohammadi |
| 2022 | IROS | Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. | Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer |
| 2022 | IROS | Multi-Objective Policy Gradients with Topological Constraints. | Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel |
| 2021 | AAAI | Transfer Learning for Efficient Iterative Safety Validation. | Anthony Corso, Mykel J. Kochenderfer |
| 2021 | AAAI | Improved POMDP Tree Search Planning with Prioritized Action Branching. | John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer |
| 2021 | AAAI | Bayesian Optimized Monte Carlo Planning. | John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer |
| 2021 | ICMLA | Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data. | Liam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters |
| 2021 | IJCAI | A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks. | Christopher Lazarus, Mykel J. Kochenderfer |
| 2021 | ICRA | Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. | Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura |
| 2021 | IROS | Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm. | Mark Koren, Ahmed Nassar, Mykel J. Kochenderfer |
| 2021 | IROS | Attention Augmented ConvLSTM for Environment Prediction. | Bernard Lange, Masha Itkina, Mykel J. Kochenderfer |
| 2021 | IROS | 3D Radar Velocity Maps for Uncertain Dynamic Environments. | Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer |
| 2021 | ICRA | Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. | Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer |
| 2020 | AAAI | Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. | Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer |
| 2020 | ICML | Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. | Kunal Menda, Jean de Becdelivre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester |
| 2020 | ICML | Learning Near Optimal Policies with Low Inherent Bellman Error. | Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill |
| 2020 | ICRA | Reinforcement Learning for Adaptive Illumination with X-rays. | Jean-Raymond Betterton, Daniel Ratner, Samuel Webb, Mykel J. Kochenderfer |
| 2020 | ICRA | Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning. | Kyle Brown, Oriana Peltzer, Martin A. Sehr, Mac Schwager, Mykel J. Kochenderfer |
| 2020 | ICRA | Efficient Large-Scale Multi-Drone Delivery Using Transit Networks. | Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone |
| 2020 | UAI | Robust Spatial-Temporal Incident Prediction. | Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik |
| 2019 | CAV | The Marabou Framework for Verification and Analysis of Deep Neural Networks. | Guy Katz, Derek A. Huang, Duligur Ibeling, Kyle Julian, Christopher Lazarus, Rachel Lim, Parth Shah, Shantanu Thakoor, Haoze Wu, Aleksandar Zeljic, David L. Dill, Mykel J. Kochenderfer, Clark W. Barrett |
| 2019 | IJCAI | Monte Carlo Tree Search for Policy Optimization. | Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer |
| 2019 | IJCAI | Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. | Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer |
| 2019 | ICRA | Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. | Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer |
| 2019 | ICRA | Hunting Drones with Other Drones: Tracking a Moving Radio Target. | Louis Dressel, Mykel J. Kochenderfer |
| 2019 | ICRA | HG-DAgger: Interactive Imitation Learning with Human Experts. | Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer |
| 2019 | IROS | EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. | Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer |
| 2018 | ICLR | Rethinking Style and Content Disentanglement in Variational Autoencoders. | Rui Shu, Shengjia Zhao, Mykel J. Kochenderfer |
| 2018 | ICRA | Scalable Decision Making with Sensor Occlusions for Autonomous Driving. | Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer |
| 2018 | ICRA | Pseudo-bearing Measurements for Improved Localization of Radio Sources with Multirotor UAVs. | Louis Dressel, Mykel J. Kochenderfer |
| 2018 | IROS | People as Sensors: Imputing Maps from Human Actions. | Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry |
| 2018 | IROS | Multi-Agent Imitation Learning for Driving Simulation. | Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe, Jeremy Morton, Alex Kuefler, Mykel J. Kochenderfer |
| 2018 | IROS | Improving Offline Value-Function Approximations for POMDPs by Reducing Discount Factors. | Yi-Chun Chen, Mykel J. Kochenderfer, Matthijs T. J. Spaan |
| 2018 | IROS | Gaussian Process Dynamic Programming for Optimizing Ungrounded Haptic Guidance. | Julie M. Walker, Allison M. Okamura, Mykel J. Kochenderfer |
| 2018 | SDM | Interpretable Categorization of Heterogeneous Time Series Data. | Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann |
| 2017 | CAV | Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks. | Guy Katz, Clark W. Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer |
| 2017 | CogSci | Geometric Concept Acquisition in a Dueling Deep Q-Network. | Alex Kuefler, Mykel J. Kochenderfer, James L. McClelland |
| 2017 | IJCAI | Weighted Double Q-learning. | Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer |
| 2017 | IROS | Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning. | Patrick Slade, Preston Culbertson, Zachary Sunberg, Mykel J. Kochenderfer |
| 2017 | WSC | Heuristics for planning with rare catastrophic events. | Youngjun Kim, Yonatan Gur, Mykel J. Kochenderfer |
| 2016 | AAAI | Target Surveillance in Adversarial Environments Using POMDPs. | Maxim Egorov, Mykel J. Kochenderfer, Jaak J. Uudmae |
| 2016 | AAAI | Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs. | Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer |
| 2016 | DSAA | Customer Simulation for Direct Marketing Experiments. | Yegor Tkachenko, Mykel J. Kochenderfer, Krzysztof Kluza |
| 2016 | ICRA | Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming. | Zachary N. Sunberg, Mykel J. Kochenderfer, Marco Pavone |
| 2016 | NCA | Decision-theoretic approach to designing cyber resilient systems. | Vineet Mehta, Paul D. Rowe, Gene Lewis, Ashe Magalhaes, Mykel J. Kochenderfer |
| 2013 | DCC | Compression of Optimal Value Functions for Markov Decision Processes. | Mykel J. Kochenderfer, Nicholas Monath |
| 2012 | UAI | Predicting the behavior of interacting humans by fusing data from multiple sources. | Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey |
| 2011 | ICAART | Partially-controlled Markov Decision Processes for Collision Avoidance Systems. | Mykel J. Kochenderfer, James P. Chryssanthacopoulos |
| 2011 | ICAART | Collision Avoidance Using Partially Controlled Markov Decision Processes. | Mykel J. Kochenderfer, James P. Chryssanthacopoulos |
| 2005 | AAAI | Adaptive Modeling and Planning for Reactive Agents. | Mykel J. Kochenderfer |
| 2004 | AAAI | Common Sense Data Acquisition for Indoor Mobile Robots. | Rakesh Gupta, Mykel J. Kochenderfer |
| 2003 | EUROGP | Evolving Hierarchical and Recursive Teleo-reactive Programs through Genetic Programming. | Mykel J. Kochenderfer |