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Saute RL: Almost Surely Safe Reinforcement Learning Using State
  Augmentation

Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation

14 February 2022
Aivar Sootla
Alexander I. Cowen-Rivers
Taher Jafferjee
Ziyan Wang
D. Mguni
Jun Wang
Haitham Bou-Ammar
ArXivPDFHTML

Papers citing "Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation"

35 / 35 papers shown
Title
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
Tristan Tomilin
Meng Fang
Mykola Pechenizkiy
55
0
0
11 Mar 2025
Safety Representations for Safer Policy Learning
Safety Representations for Safer Policy Learning
Kaustubh Mani
Vincent Mai
Charlie Gauthier
Annie Chen
Samer Nashed
Liam Paull
40
0
0
27 Feb 2025
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Rudolf Reiter
Jasper Hoffmann
D. Reinhardt
Florian Messerer
Katrin Baumgärtner
Shamburaj Sawant
Joschka Boedecker
Moritz Diehl
S. Gros
84
5
0
04 Feb 2025
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
Yarden As
Bhavya Sukhija
Lenart Treven
Carmelo Sferrazza
Stelian Coros
Andreas Krause
25
1
0
12 Oct 2024
An Offline Adaptation Framework for Constrained Multi-Objective
  Reinforcement Learning
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
Qian Lin
Zongkai Liu
Danying Mo
Chao Yu
OffRL
26
1
0
16 Sep 2024
Stochastic Games with Minimally Bounded Action Costs
Stochastic Games with Minimally Bounded Action Costs
David Mguni
29
0
0
25 Jul 2024
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
Jianpeng Yao
Xiaopan Zhang
Yu Xia
Zejin Wang
A. Roy-Chowdhury
Jiachen Li
51
2
0
24 Jul 2024
Distributionally Robust Constrained Reinforcement Learning under Strong
  Duality
Distributionally Robust Constrained Reinforcement Learning under Strong Duality
Zhengfei Zhang
Kishan Panaganti
Laixi Shi
Yanan Sui
Adam Wierman
Yisong Yue
OOD
39
3
0
22 Jun 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
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for
  Mobile Edge Computing, its Applications, and Future Research Trajectories
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
29
6
0
22 Apr 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning
A Survey of Constraint Formulations in Safe Reinforcement Learning
Akifumi Wachi
Xun Shen
Yanan Sui
31
10
0
03 Feb 2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion
  Model
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Yinan Zheng
Jianxiong Li
Dongjie Yu
Yujie Yang
Shengbo Eben Li
Xianyuan Zhan
Jingjing Liu
OffRL
36
24
0
19 Jan 2024
Compositional Policy Learning in Stochastic Control Systems with Formal
  Guarantees
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
Dorde Zikelic
Mathias Lechner
Abhinav Verma
K. Chatterjee
T. Henzinger
32
9
0
03 Dec 2023
Anytime-Competitive Reinforcement Learning with Policy Prior
Anytime-Competitive Reinforcement Learning with Policy Prior
Jianyi Yang
Pengfei Li
Tongxin Li
Adam Wierman
Shaolei Ren
40
2
0
02 Nov 2023
Diffusion Models for Reinforcement Learning: A Survey
Diffusion Models for Reinforcement Learning: A Survey
Zhengbang Zhu
Hanye Zhao
Haoran He
Yichao Zhong
Shenyu Zhang
Haoquan Guo
Tingting Chen
Weinan Zhang
41
60
0
02 Nov 2023
Safe RLHF: Safe Reinforcement Learning from Human Feedback
Safe RLHF: Safe Reinforcement Learning from Human Feedback
Josef Dai
Xuehai Pan
Ruiyang Sun
Jiaming Ji
Xinbo Xu
Mickel Liu
Yizhou Wang
Yaodong Yang
27
289
0
19 Oct 2023
Constraint-Conditioned Policy Optimization for Versatile Safe
  Reinforcement Learning
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
Yi-Fan Yao
Zuxin Liu
Zhepeng Cen
Jiacheng Zhu
Wenhao Yu
Tingnan Zhang
Ding Zhao
OffRL
28
12
0
05 Oct 2023
Safe Exploration in Reinforcement Learning: A Generalized Formulation
  and Algorithms
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
Akifumi Wachi
Wataru Hashimoto
Xun Shen
Kazumune Hashimoto
14
9
0
05 Oct 2023
Learning Adaptive Safety for Multi-Agent Systems
Learning Adaptive Safety for Multi-Agent Systems
Luigi Berducci
Shuo Yang
Rahul Mangharam
Radu Grosu
38
4
0
19 Sep 2023
SafeDreamer: Safe Reinforcement Learning with World Models
SafeDreamer: Safe Reinforcement Learning with World Models
Weidong Huang
Jiaming Ji
Borong Zhang
Chunhe Xia
Yao-Chun Yang
OffRL
30
19
0
14 Jul 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning
Datasets and Benchmarks for Offline Safe Reinforcement Learning
Zuxin Liu
Zijian Guo
Haohong Lin
Yi-Fan Yao
Jiacheng Zhu
...
Hanjiang Hu
Wenhao Yu
Tingnan Zhang
Jie Tan
Ding Zhao
OffRL
24
36
0
15 Jun 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Qian Lin
Bo Tang
Zifan Wu
Chao Yu
Shangqin Mao
Qianlong Xie
Xingxing Wang
Dong Wang
OffRL
34
11
0
01 Jun 2023
ROSARL: Reward-Only Safe Reinforcement Learning
ROSARL: Reward-Only Safe Reinforcement Learning
Geraud Nangue Tasse
Tamlin Love
Mark W. Nemecek
Steven D. James
Benjamin Rosman
21
3
0
31 May 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
A Multiplicative Value Function for Safe and Efficient Reinforcement
  Learning
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning
Nick Bührer
Zhejun Zhang
Alexander Liniger
F. I. F. Richard Yu
Luc Van Gool
24
1
0
07 Mar 2023
Efficient Exploration Using Extra Safety Budget in Constrained Policy
  Optimization
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization
Haotian Xu
Shengjie Wang
Zhaolei Wang
Yunzhe Zhang
Qing Zhuo
Yang Gao
Tao Zhang
18
0
0
28 Feb 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning
Constrained Decision Transformer for Offline Safe Reinforcement Learning
Zuxin Liu
Zijian Guo
Yi-Fan Yao
Zhepeng Cen
Wenhao Yu
Tingnan Zhang
Ding Zhao
OffRL
31
46
0
14 Feb 2023
Distributional constrained reinforcement learning for supply chain
  optimization
Distributional constrained reinforcement learning for supply chain optimization
J. Berm\údez
Antonio del Rio-Chanona
Calvin Tsay
26
5
0
03 Feb 2023
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks:
  Navigation, Manipulation, Interaction
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
Puze Liu
Kuo Zhang
Davide Tateo
Snehal Jauhri
Zhiyuan Hu
Jan Peters
Georgia Chalvatzaki
41
17
0
27 Sep 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
Effects of Safety State Augmentation on Safe Exploration
Effects of Safety State Augmentation on Safe Exploration
Aivar Sootla
Alexander I. Cowen-Rivers
Jun Wang
H. Ammar
OffRL
27
0
0
06 Jun 2022
Timing is Everything: Learning to Act Selectively with Costly Actions
  and Budgetary Constraints
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
D. Mguni
Aivar Sootla
Juliusz Ziomek
Oliver Slumbers
Zipeng Dai
Kun Shao
Jun Wang
34
6
0
31 May 2022
On the Robustness of Safe Reinforcement Learning under Observational
  Perturbations
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
Zuxin Liu
Zijian Guo
Zhepeng Cen
Huan Zhang
Jie Tan
Bo-wen Li
Ding Zhao
OOD
OffRL
42
35
0
29 May 2022
Finding Safe Zones of policies Markov Decision Processes
Finding Safe Zones of policies Markov Decision Processes
Lee Cohen
Yishay Mansour
Michal Moshkovitz
19
1
0
23 Feb 2022
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of
  Intervention
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention
D. Mguni
Usman Islam
Taher Jafferjee
Xiuling Zhang
Joel Jennings
Aivar Sootla
Changmin Yu
Ziyan Wang
Jun Wang
Yaodong Yang
OffRL
26
7
0
27 Oct 2021
1