Hybrid-AIRL adds supervised expert guidance and stochastic regularization to AIRL, yielding higher sample efficiency and more stable learning on Gymnasium benchmarks and Heads-Up Limit Hold'em poker.
A survey of inverse reinforcement learning: Challenges, methods and progress
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Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
Hybrid-AIRL adds supervised expert guidance and stochastic regularization to AIRL, yielding higher sample efficiency and more stable learning on Gymnasium benchmarks and Heads-Up Limit Hold'em poker.