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

3 code implementations • 1 Feb 2021 • Rongjun Qin, Songyi Gao, Xingyuan Zhang, Zhen Xu, Shengkai Huang, Zewen Li, Weinan Zhang, Yang Yu

We evaluate existing offline RL algorithms on NeoRL and argue that the performance of a policy should also be compared with the deterministic version of the behavior policy, instead of the dataset reward.

Offline RL reinforcement-learning +1