RA-L 2023: Learning to Play Trajectory Games Against Opponents with Unknown Objectives: A differentiable adaptive game-theoretic planner that jointly infers players' objectives and solves for generalized Nash equilibrium trajectories, enabled by differentiating through a trajectory game solver.
☆27Sep 10, 2024Updated last year
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