Optimal Conservative Offline RL with General Function Approximation via
Augmented Lagrangian

Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

1 November 2022

Paria Rashidinejad

Stuart J. Russell

Papers citing "Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian"

14 / 14 papers shown

Title
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang Linjiajie Fang Kexin Shi Wenjia Wang Bing-Yi Jing OffRL 27 0 0 27 Oct 2024
Offline RL via Feature-Occupancy Gradient Ascent Gergely Neu Nneka Okolo OffRL 19 0 0 22 May 2024
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback Kihyun Kim Jiawei Zhang Asuman Ozdaglar P. Parrilo OffRL 20 1 0 20 May 2024
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning Mao Hong Zhiyue Zhang Yue Wu Yan Xu OffRL 33 0 0 21 Jan 2024
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond Thanh Nguyen-Tang Raman Arora OffRL 15 3 0 06 Jan 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning Di Wu Yuling Jiao Li Shen Haizhao Yang Xiliang Lu OffRL 13 1 0 19 Dec 2023
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 20 5 0 10 Jul 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose H. Blanchet Miao Lu Tong Zhang Han Zhong OffRL 30 29 0 16 May 2023
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage Masatoshi Uehara Nathan Kallus Jason D. Lee Wen Sun OffRL 11 5 0 05 Feb 2023
On Gap-dependent Bounds for Offline Reinforcement Learning Xinqi Wang Qiwen Cui S. Du OffRL 63 11 0 01 Jun 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 91 144 0 13 Jul 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 197 412 0 16 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 199 119 0 21 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,944 0 04 May 2020