Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
arXiv:2511.21356v2 Announce Type: replace-cross
Abstract: Adversarial Inverse Reinforcement Learning (AIRL) has shown promise in addressing the sparse reward problem in reinforcement learning (RL) by inferring dense reward functions from expert demons…