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…