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Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement
  Learning

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning

22 June 2023
Jinxin Liu
Ziqi Zhang
Zhenyu Wei
Zifeng Zhuang
Yachen Kang
Sibo Gai
Donglin Wang
    OffRL
ArXivPDFHTML

Papers citing "Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning"

12 / 12 papers shown
Title
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL
Zhikun Tao
Gang Xiong
He Fang
Zhen Shen
Yunjun Han
Qing-Shan Jia
OffRL
34
0
0
13 May 2025
Contrastive Representation for Data Filtering in Cross-Domain Offline
  Reinforcement Learning
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
Xiaoyu Wen
Chenjia Bai
Kang Xu
Xudong Yu
Yang Zhang
Xuelong Li
Zhen Wang
41
2
0
10 May 2024
Learn what matters: cross-domain imitation learning with task-relevant
  embeddings
Learn what matters: cross-domain imitation learning with task-relevant embeddings
Tim Franzmeyer
Philip Torr
João F. Henriques
OOD
34
20
0
24 Sep 2022
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRL
AI4TS
117
239
0
20 May 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
214
843
0
12 Oct 2021
Cross-Domain Imitation Learning via Optimal Transport
Cross-Domain Imitation Learning via Optimal Transport
Arnaud Fickinger
Samuel N. Cohen
Stuart J. Russell
Brandon Amos
OT
48
48
0
07 Oct 2021
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach
Alexander Khazatsky
Sergey Levine
Ruslan Salakhutdinov
OffRL
206
44
0
06 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified
  Q-Ensemble
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
Conservative Offline Distributional Reinforcement Learning
Conservative Offline Distributional Reinforcement Learning
Yecheng Jason Ma
Dinesh Jayaraman
Osbert Bastani
OffRL
70
78
0
12 Jul 2021
COMBO: Conservative Offline Model-Based Policy Optimization
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
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline
  and Online RL
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour
Dale Schuurmans
S. Gu
OffRL
209
119
0
21 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
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
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