A Behavior Regularized Implicit Policy for Offline Reinforcement
Learning

A Behavior Regularized Implicit Policy for Offline Reinforcement Learning

19 February 2022

Huangjie Zheng

Mingyuan Zhou

Papers citing "A Behavior Regularized Implicit Policy for Offline Reinforcement Learning"

9 / 9 papers shown

Title
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Jifeng Hu Sili Huang Zhengyuan Yang Shengchao Hu Li Shen H. Chen Lichao Sun Yi-Ju Chang Dacheng Tao OffRL 158 0 0 03 May 2025
Curiosity-Diffuser: Curiosity Guide Diffusion Models for Reliability Zihao Liu Xing Liu Yizhai Zhang Zhengxiong Liu Panfeng Huang 69 0 0 19 Mar 2025
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 36 0 0 26 Sep 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang Chi Zhang Wenjia Wang Bing-Yi Jing OffRL 32 7 0 28 Jan 2023
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 105 262 0 04 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 415 0 16 Feb 2021
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 136 185 0 08 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020