A forward-inverse dynamic game framework with state-dependent KL regularization and a scene-aware network for inferring agent cost weights from demonstrations.
Online and offline learning of player objectives from partial observations in dynamic games,
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A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning
A forward-inverse dynamic game framework with state-dependent KL regularization and a scene-aware network for inferring agent cost weights from demonstrations.