SoLo T-DIRL: Socially-Aware Dynamic Local Planner based on Trajectory-Ranked Deep Inverse Reinforcement Learning

1 code implementation • 16 Sep 2022 • Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari

This work proposes a new framework for a socially-aware dynamic local planner in crowded environments by building on the recently proposed Trajectory-ranked Maximum Entropy Deep Inverse Reinforcement Learning (T-MEDIRL).

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