12 papers
Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing
Andrei-Carlo Papuc, Lasse Peters, Sihao Sun +2
Autonomous drone racing pushes the boundaries of high-speed motion planning and multi-agent strategic decision-making. Success in this domain requires drones not only to navigate a…
Coordinated Diffusion: Generating Multi-Agent Behavior Without Multi-Agent Demonstrations
Lasse Peters, Laura Ferranti, Andrea Bajcsy +1
Imitation learning powered by generative models has proven effective for modeling complex single-agent behaviors. However, teaching multi-agent systems, like multiple arms or vehic…
Controllability in preference-conditioned multi-objective reinforcement learning
Pau de las Heras Molins, Beyazit Yalcinkaya, Lasse Peters +2
Multi-objective reinforcement learning (MORL) allows a user to express preference over outcomes in terms of the relative importance of the objectives, but standard metrics cannot c…
Homotopy-Guided Potential Games for Congestion-Aware Navigation
Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Lasse Peters, Michael Khayyat +3
We address the multi-agent motion planning problem where interactions, collisions, and congestion co-exist. Conventional game-theoretic planners capture interactions among agents b…
Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation
Dong Ho Lee, Jingqi Li, Lasse Peters +2
Games of ordered preference (GOOPs) model multi-player equilibrium problems in which each player maintains a distinct hierarchy of strictly prioritized objectives. Existing approac…
Bayesian Inverse Games with High-Dimensional Multi-Modal Observations
Yash Jain, Xinjie Liu, Lasse Peters +2
Many multi-agent interaction scenarios can be naturally modeled as noncooperative games, where each agent's decisions depend on others' future actions. However, deploying game-theo…