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Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion
  Model

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model

19 January 2024
Yinan Zheng
Jianxiong Li
Dongjie Yu
Yujie Yang
Shengbo Eben Li
Xianyuan Zhan
Jingjing Liu
    OffRL
ArXivPDFHTML

Papers citing "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"

13 / 13 papers shown
Title
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
54
0
0
01 May 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
57
0
0
17 Feb 2025
Skill Expansion and Composition in Parameter Space
Skill Expansion and Composition in Parameter Space
Tenglong Liu
J. Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
51
4
0
09 Feb 2025
ODICE: Revealing the Mystery of Distribution Correction Estimation via
  Orthogonal-gradient Update
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
Liyuan Mao
Haoran Xu
Weinan Zhang
Xianyuan Zhan
14
10
0
01 Feb 2024
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning
  Research
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research
Jiaming Ji
Jiayi Zhou
Borong Zhang
Juntao Dai
Xuehai Pan
Ruiyang Sun
Weidong Huang
Yiran Geng
Mickel Liu
Yaodong Yang
OffRL
62
47
0
16 May 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
76
103
0
29 Sep 2022
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRL
AI4TS
102
231
0
20 May 2022
Planning with Diffusion for Flexible Behavior Synthesis
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner
Yilun Du
J. Tenenbaum
Sergey Levine
DiffM
196
622
0
20 May 2022
Reachability Constrained Reinforcement Learning
Reachability Constrained Reinforcement Learning
Dongjie Yu
Haitong Ma
Sheng Li
Jianyu Chen
46
54
0
16 May 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
206
832
0
12 Oct 2021
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring
  Statewise Safety
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety
Haitong Ma
Yang Guan
Shegnbo Eben Li
Xiangteng Zhang
Sifa Zheng
Jianyu Chen
36
37
0
22 May 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
321
1,662
0
04 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
137
1,599
0
02 Feb 2020
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