Peer-Reviewed Publications
 | RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot NavigationLakshay Sharma, Michael Everett, Donggun Lee, Xiaoyi Cai, Philip Osteen, Jonathan P. HowIEEE International Conference on Robotics and Automation (ICRA), 2023Paper |
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 | Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear SystemsNicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. HowIEEE Open Journal of Control Systems (OJ-CSYS): Special Section: Formal Verification and Synthesis of Cyber-Physical Systems, 2023Paper Code |
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 | Risk-Aware Off-Road Navigation via a Learned Speed Distribution MapXiaoyi Cai, Michael Everett, Jonathan Fink, Jonathan P. HowIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022Paper |
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 | Influencing Long-Term Behavior in Multiagent Reinforcement LearningDong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. HowConference on Neural Information Processing Systems (NeurIPS), 2022Also presented in ICLR Workshop on Gamification and Multiagent Solutions, 2022Paper |
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 | Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement LearningMichael Everett*, Björn Lütjens*, Jonathan P. HowIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021Paper |
 | Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control SystemsMichael Everett, Golnaz Habibi, Jonathan P. HowIEEE Control Systems Letters (L-CSS), 2021Also presented in American Controls Conference (ACC) Invited Session on Learning, Optimization, and Control for Safety-critical Systems, May, 2021.Paper Code Video |
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 | Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement LearningMichael Everett, Yu Fan Chen, Jonathan P. HowIEEE Access: Special Section on Real-Time Machine Learning Applications in Mobile Robotics, 2021Editors' Top 5 Published Article Selections for 2021Featured Article of the Week (March 2021)Paper Code: [ Pre-Trained ROS Package , Training Environment , RL Training Code ] |
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 | Efficient Reachability Analysis for Closed-Loop Systems with Neural Network ControllersMichael Everett, Golnaz Habibi, Jonathan P. HowIEEE International Conference on Robotics and Automation (ICRA), 2021Also presented in International Conference on Learning Representations (ICLR) Workshop on Robust and Reliable Machine Learning in the Real World, May, 2021.Paper Code Video |
 | Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement LearningSamaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton de Ruiter, Jonathan P HowIEEE Robotics and Automation Letters (RA-L), 2020Paper |
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 | R-MADDPG for Partially Observable Environments and Limited CommunicationRose E Wang, Michael Everett, Jonathan P. HowICML Workshop: Reinforcement Learning for Real Life, 2019Code |
 | Safe Reinforcement Learning with Model Uncertainty EstimatesBjörn Lütjens, Michael Everett, Jonathan P. HowIEEE International Conference on Robotics and Automation (ICRA), 2019Paper |
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 | Semantic-level decentralized multi-robot decision-making using probabilistic macro-observationsShayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett T Lopez, Christopher Amato, Miao Liu, Jonathan P How, John VianIEEE International Conference on Robotics and Automation (ICRA), 2017Paper Video |
 | Scalable accelerated decentralized multi-robot policy search in continuous observation spacesShayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P How, John VianIEEE International Conference on Robotics and Automation (ICRA), 2017Paper |
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Theses
 | Algorithms for Robust Autonomous Navigation in Human EnvironmentsMichael EverettPhD Thesis, 2020MIT Department of Mechanical EngineeringVideo |
 | Robot Designed for Socially Acceptable NavigationMichael EverettSM Thesis, 2017MIT Department of Mechanical Engineering |