NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

Rongjun Qin, Songyi Gao, Xingyuan Zhang +5

Offline reinforcement learning (RL) aims at learning a good policy from a batch of collected data, without extra interactions with the environment during training. However, current…