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2212.04607
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Confidence-Conditioned Value Functions for Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
8 December 2022
Joey Hong
Aviral Kumar
Sergey Levine
OffRL
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Papers citing
"Confidence-Conditioned Value Functions for Offline Reinforcement Learning"
17 / 17 papers shown
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
Neural Information Processing Systems (NeurIPS), 2024
Kai Yan
Alex Schwing
Yu-Xiong Wang
OffRL
OnRL
250
5
0
31 Oct 2024
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2024
Qian Lin
Zongkai Liu
Danying Mo
Chao Yu
OffRL
340
2
0
16 Sep 2024
Preference-Optimized Pareto Set Learning for Blackbox Optimization
Zhang Haishan
Chen Liang
Koji Tsuda
247
1
0
19 Aug 2024
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
Minjae Cho
Jonathan P. How
Chuangchuang Sun
OODD
OffRL
210
1
0
06 May 2024
Grid-Mapping Pseudo-Count Constraint for Offline Reinforcement Learning
Yi Shen
Hanyan Huang
Shan Xie
225
1
0
03 Apr 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
Neural Information Processing Systems (NeurIPS), 2024
Yunpeng Qing
Shunyu Liu
Jingyuan Cong
Kaixuan Chen
Yihe Zhou
Mingli Song
OffRL
469
10
0
12 Mar 2024
Exploration and Anti-Exploration with Distributional Random Network Distillation
Kai Yang
Jian Tao
Jiafei Lyu
Xiu Li
474
35
0
18 Jan 2024
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
International Conference on Learning Representations (ICLR), 2023
Kun Lei
Zhengmao He
Chenhao Lu
Kaizhe Hu
Yang Gao
Huazhe Xu
OffRL
OnRL
395
28
0
06 Nov 2023
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Shenzhi Wang
Qisen Yang
Jiawei Gao
Matthieu Lin
Hao Chen
Liwei Wu
Ning Jia
Shiji Song
Gao Huang
OffRL
361
27
0
27 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
Max Sobol Mark
Archit Sharma
Fahim Tajwar
Rafael Rafailov
Sergey Levine
Chelsea Finn
OffRL
OnRL
319
4
0
12 Oct 2023
Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration
Ziqi Zhang
Xiao Xiong
Zifeng Zhuang
Jinxin Liu
Xuetao Zhang
OffRL
OnRL
382
0
0
07 Oct 2023
Learning Control Policies for Variable Objectives from Offline Data
IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023
Marc Weber
Phillip Swazinna
D. Hein
Steffen Udluft
V. Sterzing
OffRL
228
9
0
11 Aug 2023
Model-based Offline Reinforcement Learning with Count-based Conservatism
International Conference on Machine Learning (ICML), 2023
Byeongchang Kim
Min Hwan Oh
OffRL
220
16
0
21 Jul 2023
Budgeting Counterfactual for Offline RL
Neural Information Processing Systems (NeurIPS), 2023
Yao Liu
Pratik Chaudhari
Rasool Fakoor
OffRL
309
4
0
12 Jul 2023
Automatic Trade-off Adaptation in Offline RL
The European Symposium on Artificial Neural Networks (ESANN), 2023
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
153
0
0
16 Jun 2023
PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning
Jianxiong Li
Xiao Hu
Haoran Xu
Jingjing Liu
Xianyuan Zhan
Ya Zhang
OffRL
OnRL
304
29
0
25 May 2023
Anti-Exploration by Random Network Distillation
International Conference on Machine Learning (ICML), 2023
Alexander Nikulin
Vladislav Kurenkov
Denis Tarasov
Sergey Kolesnikov
268
48
0
31 Jan 2023
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