News

May, 2026. New preprint available on arXiv: “Coordinated Diffusion: Generating Multi-Agent Behavior Without Multi-Agent Demonstrations”.

May, 2026. Our paper “Controllability in Preference-Conditioned Multi-Objective Reinforcement Learning” has been accepted to NeuS 2026.

Apr, 2026. Our paper “Homotopy-Guided Potential Games for Congestion-Aware Navigation” has been accepted for publication in the IEEE Robotics and Automation Letters (RA-L).

Mar, 2026. New preprint available on arXiv: “Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation”.

Feb, 2026. Our paper “Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing” has been accepted for publication in the IEEE Robotics and Automation Letters (RA-L).

Jan, 2026. New preprint available on arXiv: “Bayesian Inverse Games with High-Dimensional Multi-Modal Observations”.

Aug, 2025. Our work on contingency games has been selected as a best paper finalist for the TC on Robot Control Best Paper AwardsPermalink.

Aug, 2025. Our paper “Approximate solutions to games of ordered preference” has been accepted to the IEEE International Conference on Intelligent Transportation Systems (ITSC).

Jun, 2025. Our paper “You Can’t Always Get What You Want: Games of Ordered Preference” has been accepted for publication in the IEEE Robotics and Automation Letters (RA-L).

May, 2025. I have been selected for this year’s batch of RSS Pioneers.

Apr, 2025. I successfully defended my PhD dissertation, “Game-Theoretic Motion Planning for Multi-Agent Interaction”! A recording of the defense talk is available online. [link]

Feb, 2025. New preprint available on ArXiv: “Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis”.

Feb, 2025. Our paper “Updating Robot Safety Representations Online from Natural Language Feedback” got accepted to ICRA 2025!

Sep, 2024. New preprint “Updating Robot Safety Representations Online from Natural Language Feedback” available on arXiv.

Aug, 2024. Our work on Auto-Encoding Bayesian Inverse Games has been accepted at WAFR 2024 and will be presented in Chicago in October.

Dec, 2023. Our work on contingency games has been accepted at IEEE RA-L and will be presented at IROS 2024 in Abu Dhabi.

Aug, 2023. New preprint on contingency games: a model for strategic interactions which allows a robot to consider the full distribution of other agents’ intents while anticipating intent certainty in the near future.

May, 2023. Our work “Online and Offline Learning of Player Objectives from Partial Observations in Dynamic Games” has been accepted for publication in the International Journal of Robotics Research (IJRR). [website]

Apr, 2023. I gave a talk on “Contingency Games for Multi-Agent Interaction” at Nuro [video], [website]

Apr, 2023. In a new IEEE RA-L paper with my master’s student, Xinjie Liu, we propose an adaptive model-predictive game solver that leverages a differentiable implementation of a games solver to learn opponents intents online. [website]

Jul, 2022. A recording of our RSS2022 talk on lifted trajectory games is now available on YouTube.

Jun, 2022. The lifted games solver is now available on GitHub

Jun, 2022. I will present our lifted games solver at RSS2022 in session 11 on Thursday, 2pm local time. You can preview the poster here.

May, 2022. David Fridovich-Keil has presented lifted games at the IDSC Autonomy Talks, [recording].