2020
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
NeurIPS 2020poster
There has recently been a surge in research in batch Deep Reinforcement Learning (DRL), which aims for learning a high-performing policy from a given dataset without additional interactions with the environment. We propose a new algorithm, Best-Action Imitation Learning (BAIL), which strives for bot…