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How to Leverage Unlabeled Data in Offline Reinforcement Learning

How to Leverage Unlabeled Data in Offline Reinforcement Learning

3 February 2022
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Chelsea Finn
Sergey Levine
    OffRL
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Papers citing "How to Leverage Unlabeled Data in Offline Reinforcement Learning"

20 / 20 papers shown
Title
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Minting Pan
Yitao Zheng
Jiajian Li
Yunbo Wang
Xiaokang Yang
OffRL
48
0
0
10 May 2025
Learning from Active Human Involvement through Proxy Value Propagation
Learning from Active Human Involvement through Proxy Value Propagation
Zhenghao Peng
Wenjie Mo
Chenda Duan
Quanyi Li
Bolei Zhou
107
14
0
05 Feb 2025
Robust Offline Imitation Learning from Diverse Auxiliary Data
Robust Offline Imitation Learning from Diverse Auxiliary Data
Udita Ghosh
Dripta S. Raychaudhuri
Jiachen Li
Konstantinos Karydis
A. Roy-Chowdhury
OffRL
26
1
0
04 Oct 2024
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Yen-Ru Lai
Fu-Chieh Chang
Pei-Yuan Wu
OffRL
76
1
0
22 Aug 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
Ying Fan
Jingling Li
Adith Swaminathan
Aditya Modi
Ching-An Cheng
OffRL
72
0
0
14 Aug 2024
Augmenting Offline RL with Unlabeled Data
Augmenting Offline RL with Unlabeled Data
Zhao Wang
Briti Gangopadhyay
Jia-Fong Yeh
Shingo Takamatsu
OffRL
28
0
0
11 Jun 2024
How to Leverage Diverse Demonstrations in Offline Imitation Learning
How to Leverage Diverse Demonstrations in Offline Imitation Learning
Sheng Yue
Jiani Liu
Xingyuan Hua
Ju Ren
Sen Lin
Junshan Zhang
Yaoxue Zhang
OffRL
34
3
0
24 May 2024
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
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Calarina Muslimani
M. E. Taylor
OffRL
46
2
0
30 Apr 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport
Align Your Intents: Offline Imitation Learning via Optimal Transport
Maksim Bobrin
N. Buzun
Dmitrii Krylov
Dmitry V. Dylov
OffRL
51
3
0
20 Feb 2024
Transductive Reward Inference on Graph
Transductive Reward Inference on Graph
B. Qu
Xiaofeng Cao
Qing Guo
Yi Chang
Ivor W. Tsang
Chengqi Zhang
OffRL
38
0
0
06 Feb 2024
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning
  from Observations
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
Anqi Li
Byron Boots
Ching-An Cheng
OffRL
28
16
0
30 Mar 2023
Optimal Transport for Offline Imitation Learning
Optimal Transport for Offline Imitation Learning
Yicheng Luo
Zhengyao Jiang
Samuel N. Cohen
Edward Grefenstette
M. Deisenroth
OffRL
43
26
0
24 Mar 2023
Contrastive Value Learning: Implicit Models for Simple Offline RL
Contrastive Value Learning: Implicit Models for Simple Offline RL
Bogdan Mazoure
Benjamin Eysenbach
Ofir Nachum
Jonathan Tompson
SSL
OffRL
38
7
0
03 Nov 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
Haoran Xu
Li Jiang
Jianxiong Li
Xianyuan Zhan
OffRL
26
61
0
15 Oct 2022
Discovering an Aid Policy to Minimize Student Evasion Using Offline
  Reinforcement Learning
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning
Leandro M. de Lima
R. Krohling
OffRL
32
4
0
20 Apr 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
413
0
16 Feb 2021
Semi-supervised reward learning for offline reinforcement learning
Semi-supervised reward learning for offline reinforcement learning
Ksenia Konyushkova
Konrad Zolna
Y. Aytar
Alexander Novikov
Scott E. Reed
Serkan Cabi
Nando de Freitas
SSL
OffRL
68
23
0
12 Dec 2020
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
1