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Probabilistic Shielding for Safe Reinforcement Learning
v1v2v3 (latest)

Probabilistic Shielding for Safe Reinforcement Learning

AAAI Conference on Artificial Intelligence (AAAI), 2025
9 March 2025
Edwin Hamel-De le Court
Francesco Belardinelli
Alex W. Goodall
ArXiv (abs)PDFHTML

Papers citing "Probabilistic Shielding for Safe Reinforcement Learning"

12 / 12 papers shown
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding
Daniel Bethell
Simos Gerasimou
R. Calinescu
Calum Imrie
OffRLOnRL
484
2
0
28 May 2024
Safe Reinforcement Learning for Constrained Markov Decision Processes
  with Stochastic Stopping Time
Safe Reinforcement Learning for Constrained Markov Decision Processes with Stochastic Stopping TimeIEEE Conference on Decision and Control (CDC), 2024
Abhijit Mazumdar
Rafał Wisniewski
Manuela L. Bujorianu
236
5
0
23 Mar 2024
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Safety-Gymnasium: A Unified Safe Reinforcement Learning BenchmarkNeural Information Processing Systems (NeurIPS), 2023
Jiaming Ji
Borong Zhang
Jiayi Zhou
Xuehai Pan
Weidong Huang
Ruiyang Sun
Yiran Geng
Yifan Zhong
Juntao Dai
Yaodong Yang
OffRL
347
117
0
19 Oct 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
293
79
0
16 May 2023
Safe Reinforcement Learning via Probabilistic Logic Shields
Safe Reinforcement Learning via Probabilistic Logic ShieldsInternational Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2023
Wen-Chi Yang
G. Marra
Gavin Rens
Luc de Raedt
OffRL
181
43
0
06 Mar 2023
Learning Policies with Zero or Bounded Constraint Violation for
  Constrained MDPs
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPsNeural Information Processing Systems (NeurIPS), 2021
Tao-Wen Liu
Ruida Zhou
D. Kalathil
P. R. Kumar
Chao Tian
382
92
0
04 Jun 2021
IPO: Interior-point Policy Optimization under Constraints
IPO: Interior-point Policy Optimization under ConstraintsAAAI Conference on Artificial Intelligence (AAAI), 2019
Yongshuai Liu
J. Ding
Xin Liu
295
221
0
21 Oct 2019
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
1.3K
24,251
0
20 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
T. Weber
S. Racanière
David P. Reichert
Lars Buesing
A. Guez
...
Razvan Pascanu
Peter W. Battaglia
Demis Hassabis
David Silver
Daan Wierstra
LM&Ro
247
587
0
19 Jul 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
771
9,660
0
04 Feb 2016
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Sai Li
Pieter Abbeel
990
7,524
0
19 Feb 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
373
13,269
0
19 Dec 2013
1
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