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IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion
  Policies

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

20 April 2023
Philippe Hansen-Estruch
Ilya Kostrikov
Michael Janner
J. Kuba
Sergey Levine
    OffRL
ArXivPDFHTML

Papers citing "IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies"

16 / 116 papers shown
Title
Elastic Decision Transformer
Elastic Decision Transformer
Yueh-hua Wu
Xiaolong Wang
Masashi Hamaya
OffRL
29
39
0
05 Jul 2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
Outongyi Lv
Bingxin Zhou
OffRL
44
0
0
05 Jul 2023
Residual Q-Learning: Offline and Online Policy Customization without
  Value
Residual Q-Learning: Offline and Online Policy Customization without Value
Chenran Li
Chen Tang
Haruki Nishimura
Jean-Pierre Mercat
Masayoshi Tomizuka
Wei Zhan
OffRL
36
6
0
15 Jun 2023
Value function estimation using conditional diffusion models for control
Value function estimation using conditional diffusion models for control
Bogdan Mazoure
Walter A. Talbott
Miguel Angel Bautista
R. Devon Hjelm
Alexander Toshev
J. Susskind
DiffM
30
4
0
09 Jun 2023
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy
  Actor-Critic
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
Tianying Ji
Yuping Luo
Gang Hua
Xianyuan Zhan
Jianwei Zhang
Huazhe Xu
OffRL
OnRL
37
14
0
05 Jun 2023
Extracting Reward Functions from Diffusion Models
Extracting Reward Functions from Diffusion Models
Felipe Nuti
Tim Franzmeyer
João F. Henriques
19
14
0
01 Jun 2023
Training Diffusion Models with Reinforcement Learning
Training Diffusion Models with Reinforcement Learning
Kevin Black
Michael Janner
Yilun Du
Ilya Kostrikov
Sergey Levine
EGVM
44
318
0
22 May 2023
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online
  Fine-Tuning
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Mitsuhiko Nakamoto
Yuexiang Zhai
Anika Singh
Max Sobol Mark
Yi Ma
Chelsea Finn
Aviral Kumar
Sergey Levine
OffRL
OnRL
114
108
0
09 Mar 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Cheng Chi
Zhenjia Xu
S. Feng
Eric A. Cousineau
Yilun Du
Benjamin Burchfiel
Russ Tedrake
Shuran Song
88
1,052
0
07 Mar 2023
Constrained Policy Optimization with Explicit Behavior Density for
  Offline Reinforcement Learning
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning
Jing Zhang
Chi Zhang
Wenjia Wang
Bing-Yi Jing
OffRL
35
7
0
28 Jan 2023
Offline Reinforcement Learning via High-Fidelity Generative Behavior
  Modeling
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
Huayu Chen
Cheng Lu
Chengyang Ying
Hang Su
Jun Zhu
DiffM
OffRL
105
106
0
29 Sep 2022
Planning with Diffusion for Flexible Behavior Synthesis
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner
Yilun Du
J. Tenenbaum
Sergey Levine
DiffM
202
632
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
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
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
136
187
0
08 May 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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