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Trust Region-Based Safe Distributional Reinforcement Learning for
  Multiple Constraints

Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints

26 January 2023
Dohyeong Kim
Kyungjae Lee
Songhwai Oh
ArXivPDFHTML

Papers citing "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints"

6 / 6 papers shown
Title
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
Taehyun Cho
Seung Han
Kyungjae Lee
Seokhun Ju
Dohyeong Kim
Jungwoo Lee
59
0
0
31 Jul 2024
Constrained Reinforcement Learning Under Model Mismatch
Constrained Reinforcement Learning Under Model Mismatch
Zhongchang Sun
Sihong He
Fei Miao
Shaofeng Zou
25
4
0
02 May 2024
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
111
231
0
20 May 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
108
535
0
24 Sep 2021
Achieving Zero Constraint Violation for Constrained Reinforcement
  Learning via Primal-Dual Approach
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
Qinbo Bai
Amrit Singh Bedi
Mridul Agarwal
Alec Koppel
Vaneet Aggarwal
92
56
0
13 Sep 2021
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
131
184
0
08 May 2020
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