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Offline Reinforcement Learning with Implicit Q-Learning

Offline Reinforcement Learning with Implicit Q-Learning

12 October 2021
Ilya Kostrikov
Ashvin Nair
Sergey Levine
    OffRL
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Papers citing "Offline Reinforcement Learning with Implicit Q-Learning"

11 / 11 papers shown
Title
Fine-Tuning without Performance Degradation
Fine-Tuning without Performance Degradation
Han Wang
Adam White
Martha White
OnRL
31
0
0
01 May 2025
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Yuhan Li
Eugene Han
Yifan Hu
Wenzhuo Zhou
Zhengling Qi
Yifan Cui
Ruoqing Zhu
OffRL
18
0
0
01 May 2025
Learning Neural Control Barrier Functions from Offline Data with Conservatism
Learning Neural Control Barrier Functions from Offline Data with Conservatism
Ihab Tabbara
Hussein Sibai
OffRL
23
0
0
01 May 2025
Offline Learning of Controllable Diverse Behaviors
Offline Learning of Controllable Diverse Behaviors
Mathieu Petitbois
Rémy Portelas
Sylvain Lamprier
Ludovic Denoyer
OffRL
17
0
0
25 Apr 2025
Generative Trajectory Stitching through Diffusion Composition
Generative Trajectory Stitching through Diffusion Composition
Yunhao Luo
Utkarsh Aashu Mishra
Yilun Du
Danfei Xu
39
0
0
07 Mar 2025
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
Shenghong He
OffRL
53
0
0
10 Feb 2025
SR-Reward: Taking The Path More Traveled
SR-Reward: Taking The Path More Traveled
Seyed Mahdi Basiri Azad
Zahra Padar
Gabriel Kalweit
Joschka Boedecker
OffRL
39
0
0
04 Jan 2025
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
45
0
0
14 Aug 2024
Continuous Doubly Constrained Batch Reinforcement Learning
Continuous Doubly Constrained Batch Reinforcement Learning
Rasool Fakoor
Jonas W. Mueller
Kavosh Asadi
Pratik Chaudhari
Alex Smola
OffRL
169
23
0
18 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
174
106
0
21 Jul 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous
  Distributional Quantile Critics
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov
Pavel Shvechikov
Alexander Grishin
Dmitry Vetrov
118
149
0
08 May 2020
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