Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning

Tadashi Kozuno, Dongqi Han, Kenji Doya

In real-world applications of reinforcement learning (RL), noise from inherent stochasticity of environments is inevitable. However, current policy evaluation algorithms, which pla…