A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems

1 code implementation • 2 Mar 2022 • Rafael Figueiredo Prudencio, Marcos R. O. A. Maximo, Esther Luna Colombini

With the widespread adoption of deep learning, reinforcement learning (RL) has experienced a dramatic increase in popularity, scaling to previously intractable problems, such as playing complex games from pixel observations, sustaining conversations with humans, and controlling robotic agents.

Offline RL reinforcement-learning +1