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Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement
  Learning

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

International Conference on Learning Representations (ICLR), 2022
23 February 2022
Chenjia Bai
Lingxiao Wang
Zhuoran Yang
Zhihong Deng
Animesh Garg
Peng Liu
Zhaoran Wang
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning"

7 / 57 papers shown
Title
DCE: Offline Reinforcement Learning With Double Conservative Estimates
DCE: Offline Reinforcement Learning With Double Conservative Estimates
Chen Zhao
K. Huang
Chun yuan
OffRL
127
1
0
27 Sep 2022
A Review of Uncertainty for Deep Reinforcement Learning
A Review of Uncertainty for Deep Reinforcement LearningArtificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), 2022
Owen Lockwood
Mei Si
178
64
0
18 Aug 2022
Robust Reinforcement Learning with Distributional Risk-averse
  formulation
Robust Reinforcement Learning with Distributional Risk-averse formulation
Pierre Clavier
S. Allassonnière
E. L. Pennec
OOD
135
7
0
14 Jun 2022
Mildly Conservative Q-Learning for Offline Reinforcement Learning
Mildly Conservative Q-Learning for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Jiafei Lyu
Xiaoteng Ma
Xiu Li
Zongqing Lu
OffRL
251
132
0
09 Jun 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
RORL: Robust Offline Reinforcement Learning via Conservative SmoothingNeural Information Processing Systems (NeurIPS), 2022
Rui Yang
Chenjia Bai
Xiaoteng Ma
Zhaoran Wang
Chongjie Zhang
Lei Han
OffRL
338
101
0
06 Jun 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
VRL3: A Data-Driven Framework for Visual Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Che Wang
Xufang Luo
George Andriopoulos
Dongsheng Li
OffRL
332
61
0
17 Feb 2022
False Correlation Reduction for Offline Reinforcement Learning
False Correlation Reduction for Offline Reinforcement LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Arvindkumar Krishnakumar
Zuyue Fu
Lingxiao Wang
Zhuoran Yang
Chenjia Bai
Tianyi Zhou
Judy Hoffman
Jing Jiang
OffRL
174
11
0
24 Oct 2021
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