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Datasets and Benchmarks for Offline Safe Reinforcement Learning

Datasets and Benchmarks for Offline Safe Reinforcement Learning

15 June 2023
Zuxin Liu
Zijian Guo
Haohong Lin
Yi-Fan Yao
Jiacheng Zhu
Zhepeng Cen
Hanjiang Hu
Wenhao Yu
Tingnan Zhang
Jie Tan
Ding Zhao
    OffRL
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Papers citing "Datasets and Benchmarks for Offline Safe Reinforcement Learning"

17 / 17 papers shown
Title
Skill-based Safe Reinforcement Learning with Risk Planning
Skill-based Safe Reinforcement Learning with Risk Planning
Hanping Zhang
Yuhong Guo
OffRL
OnRL
40
0
0
02 May 2025
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
65
0
0
01 May 2025
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback
Siow Meng Low
Akshat Kumar
45
0
0
17 Apr 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
58
4
0
09 Feb 2025
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
Peiyan Hu
Xiaowei Qian
Wenhao Deng
Rui Wang
Haodong Feng
...
Tao Zhang
Long Wei
Yue Wang
Zhi-Ming Ma
Tailin Wu
AI4CE
120
0
0
04 Feb 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
Zijian Guo
Weichao Zhou
Wenchao Li
OffRL
102
2
0
28 Jan 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRL
OnRL
94
0
0
31 Dec 2024
Feasibility Consistent Representation Learning for Safe Reinforcement
  Learning
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen
Yi-Fan Yao
Zuxin Liu
Ding Zhao
OffRL
40
3
0
20 May 2024
Robotic Manipulation Datasets for Offline Compositional Reinforcement
  Learning
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
Marcel Hussing
Jorge Armando Mendez Mendez
Anisha Singrodia
Cassandra Kent
Eric Eaton
OffRL
31
5
0
13 Jul 2023
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
72
47
0
16 May 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library
CORL: Research-oriented Deep Offline Reinforcement Learning Library
Denis Tarasov
Alexander Nikulin
Dmitry Akimov
Vladislav Kurenkov
Sergey Kolesnikov
OffRL
54
78
0
13 Oct 2022
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a
  Handful of Trials
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
Aviral Kumar
Anika Singh
F. Ebert
Mitsuhiko Nakamoto
Yanlai Yang
Chelsea Finn
Sergey Levine
OffRL
OnRL
125
66
0
11 Oct 2022
Real-World Robot Learning with Masked Visual Pre-training
Real-World Robot Learning with Masked Visual Pre-training
Ilija Radosavovic
Tete Xiao
Stephen James
Pieter Abbeel
Jitendra Malik
Trevor Darrell
SSL
156
239
0
06 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
74
45
0
16 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
115
237
0
20 May 2022
d3rlpy: An Offline Deep Reinforcement Learning Library
d3rlpy: An Offline Deep Reinforcement Learning Library
Takuma Seno
M. Imai
OffRL
GP
60
100
0
06 Nov 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
1,960
0
04 May 2020
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