Batch Reinforcement Learning Through Continuation Method

By Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen. 2021

16 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Shixiang Shane Gu
2. Sergey Levine
3. Scott Fujimoto
4. Ofir Nachum
5. Aviral Kumar
6. Pieter Abbeel
7. George Tucker
8. Ilya Kostrikov

Citations in the corpus

• A Minimalist Approach to Offline Reinforcement Learning (2021, methodology): “…estimate of the behavior policy and then defining an explicit policy parameterization [Fujimoto et al., 2019b, Ghasemipour et al., 2020] or by using divergence regularization [Jaques et al., 2019, Kumar et al., 2019, Wu et al., 2019, Siegel et al., 2020, Guo et al., 2021, Kostrikov et al., 2021].”