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SAAC: Safe Reinforcement Learning as an Adversarial Game of
  Actor-Critics

SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics

20 April 2022
Yannis Flet-Berliac
D. Basu
    AAML
ArXivPDFHTML

Papers citing "SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics"

4 / 4 papers shown
Title
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
37
35
0
29 May 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy
Towards Safe Reinforcement Learning with a Safety Editor Policy
Haonan Yu
Wei-ping Xu
Haichao Zhang
OffRL
61
31
0
28 Jan 2022
Controlling Overestimation Bias with Truncated Mixture of Continuous
  Distributional Quantile Critics
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov
Pavel Shvechikov
Alexander Grishin
Dmitry Vetrov
136
185
0
08 May 2020
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow
Aviv Tamar
Shie Mannor
Marco Pavone
64
310
0
06 Jun 2015
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