Improving and Benchmarking Offline Reinforcement Learning Algorithms

Improving and Benchmarking Offline Reinforcement Learning Algorithms

1 June 2023

Papers citing "Improving and Benchmarking Offline Reinforcement Learning Algorithms"

11 / 11 papers shown

Title
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation Momin Haider Ming Yin Menglei Zhang Arpit Gupta Jing Zhu Yu-Xiang Wang OffRL 31 1 0 30 Oct 2024
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 53 1 0 11 Sep 2024
Is Value Learning Really the Main Bottleneck in Offline RL? Seohong Park Kevin Frans Sergey Levine Aviral Kumar OffRL 53 8 0 13 Jun 2024
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL Yang Yue Rui Lu Bingyi Kang Shiji Song Gao Huang OffRL 35 16 0 06 Oct 2023
Budgeting Counterfactual for Offline RL Yao Liu Pratik Chaudhari Rasool Fakoor OffRL 25 2 0 12 Jul 2023
Efficient Diffusion Policies for Offline Reinforcement Learning Bingyi Kang Xiao Ma Chao Du Tianyu Pang Shuicheng Yan OffRL 36 62 0 31 May 2023
Mutual Information Regularized Offline Reinforcement Learning Xiao Ma Bingyi Kang Zhongwen Xu Min-Bin Lin Shuicheng Yan OffRL 32 7 0 14 Oct 2022
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
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