| Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams |
Yasin Findik, Paul Robinette, Kshitij Jerath, Reza Ahmadzadeh |
| Interaction-Aware Merging in Mixed Traffic with Integrated Game-theoretic Predictive Control and Inverse Differential Game |
Mohamed-Khalil Bouzidi, Ehsan Hashemi |
| Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios |
Nishtha Mahajan, Qi Zhang |
| Active Inverse Learning in Stackelberg Trajectory Games |
Yue Yu, Jacob Levy, Negar Mehr, David Fridovich-Keil, Ufuk Topcu |
| Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning |
Dvij Rajesh Kalaria, Qin Lin, John M Dolan |
| iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning |
Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha |
| Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions |
Rohan Chandra, Vrushabh Zinage, Efstathios Bakolas, Joydeep Biswas, Peter Stone |
| Cooperation Dynamics in Multi-Agent Systems: Exploring Game-Theoretic Scenarios with Mean-Field Equilibria |
Sathi Vaigarai, Sabahat Shaik, Jaswanth Nidamanuri |
| A Preview of Open-Loop and Feedback Nash Trajectories in Racing Scenarios |
Matthias Rowold |
| Zero-Sum Games Between Large-Population Heterogeneous Teams: A Reachability-based Analysis under Mean-Field Sharing |
Yue Guan, Mohammad Afshari, Panagiotis Tsiotras |
| Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem |
Tanmay Samak, Chinmay Samak, Venkat Krovi |
| Learned Objectives for Game Theoretic Planning |
Keiko Nagami, Jaden Clark, Mac Schwager |
| Towards Risk Aware Racing Agents: Learning Adaptive Policies in Competitive Racing Games |
Kehlani Fay, Victor Shia |