Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning

1 code implementation • 29 Nov 2021 • Rujie Zhong, Duohan Zhang, Lukas Schäfer, Stefano V. Albrecht, Josiah P. Hanna

Reinforcement learning (RL) algorithms are often categorized as either on-policy or off-policy depending on whether they use data from a target policy of interest or from a different behavior policy.

Offline RL reinforcement-learning +1