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When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online
  Reinforcement Learning

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning

27 June 2022
Haoyi Niu
Shubham Sharma
Yiwen Qiu
Ming Li
Guyue Zhou
Jianming Hu
Xianyuan Zhan
    OffRL
    OnRL
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Papers citing "When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning"

15 / 15 papers shown
Title
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
Zhenghai Xue
Lang Feng
Jiacheng Xu
Kang Kang
Xiang Wen
Jingyi Wang
Shuicheng Yan
OffRL
53
0
0
10 Mar 2025
Data Center Cooling System Optimization Using Offline Reinforcement Learning
Data Center Cooling System Optimization Using Offline Reinforcement Learning
Xianyuan Zhan
Xiangyu Zhu
Peng Cheng
Xiao Hu
Ziteng He
...
Chenhui Liu
Tianshun Hong
Yan Liang
Yunxin Liu
Feng Zhao
AI4CE
62
0
0
17 Feb 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Patrick Yin
Tyler Westenbroek
Simran Bagaria
Kevin Huang
Ching-an Cheng
Andrey Kobolov
Abhishek Gupta
80
2
0
04 Feb 2025
Dual Alignment Maximin Optimization for Offline Model-based RL
Dual Alignment Maximin Optimization for Offline Model-based RL
Chi Zhou
Wang Luo
Haoran Li
Congying Han
Tiande Guo
Zicheng Zhang
OffRL
73
0
0
02 Feb 2025
Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Weiqin Chen
Sandipan Mishra
Santiago Paternain
OffRL
46
2
0
22 Aug 2024
Benchmarks for Reinforcement Learning with Biased Offline Data and
  Imperfect Simulators
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators
Ori Linial
Guy Tennenholtz
Uri Shalit
OffRL
46
1
0
30 Jun 2024
Residual Learning and Context Encoding for Adaptive Offline-to-Online
  Reinforcement Learning
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Mohammadreza Nakhaei
Aidan Scannell
Joni Pajarinen
OffRL
49
1
0
12 Jun 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Jiafei Lyu
Chenjia Bai
Jingwen Yang
Zongqing Lu
Xiu Li
30
8
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
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
Haoyi Niu
Tianying Ji
Bingqi Liu
Haocheng Zhao
Xiangyu Zhu
Jianying Zheng
Pengfei Huang
Guyue Zhou
Jianming Hu
Xianyuan Zhan
OffRL
OnRL
AI4CE
29
6
0
22 Sep 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local
  Value Regularization
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
Xiangsen Wang
Haoran Xu
Yinan Zheng
Xianyuan Zhan
OffRL
33
23
0
21 Jul 2023
(Re)$^2$H2O: Autonomous Driving Scenario Generation via Reversely
  Regularized Hybrid Offline-and-Online Reinforcement Learning
(Re)2^22H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning
Haoyi Niu
Kun Ren
Yi Tian Xu
Ziyuan Yang
Yi-Hsin Lin
Yan Zhang
Jianming Hu
OffRL
21
9
0
27 Feb 2023
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
214
848
0
12 Oct 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
415
0
16 Feb 2021
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
1,963
0
04 May 2020
1