Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance

Bram Silue, Santiago Amaya-Corredor, Patrick Mannion +2

Adversarial Inverse Reinforcement Learning (AIRL) has shown promise in addressing the sparse reward problem in reinforcement learning (RL) by inferring dense reward functions from…