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stat.ML2024★ 1 cited
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
Yangchun Zhang, Wang Zhou, Yirui Zhou
In the context of inverse reinforcement learning (IRL) with a single expert, adversarial inverse reinforcement learning (AIRL) serves as a foundational approach to providing compre…
cs.LG2024
Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proof
Yangchun Zhang, Qiang Liu, Weiming Li +1
Adversarial inverse reinforcement learning (AIRL) stands as a cornerstone approach in imitation learning, yet it faces criticisms from prior studies. In this paper, we rethink AIRL…