Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping

Lauren H. Cooke, Harvey Klyne, Edwin Zhang +3

Inverse reinforcement learning (IRL) is computationally challenging, with common approaches requiring the solution of multiple reinforcement learning (RL) sub-problems. This work m…