In Pursuit of Predictive Models of Human Preferences Toward AI Teammates.
CoRR, March, 2025
More Information Is Not Always Better: Connections Between Zero-Sum Local Nash Equilibria in Feedback and Open-Loop Information Patterns.
IEEE Control. Syst. Lett., 2025
Distributed Online Planning for Min-Max Problems in Networked Markov Games.
IEEE Robotics Autom. Lett., July, 2024
Syndeo: Portable Ray Clusters with Secure Containerization.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2024
Learned Risk Metric Maps for Kinodynamic Systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies.
IEEE Robotics Autom. Lett., 2022
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
A real-time framework for kinodynamic planning in dynamic environments with application to quadrotor obstacle avoidance.
Robotics Auton. Syst., 2019
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning.
CoRR, 2019
Flying Smartphones: When Portable Computing Sprouts Wings.
IEEE Pervasive Comput., 2016
Toward a real-time framework for solving the kinodynamic motion planning problem.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
A machine learning approach for real-time reachability analysis.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Internally-actuated rovers for all-access surface mobility: Theory and experimentation.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013