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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
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Papers citing "Distributionally Robust Constrained Reinforcement Learning under Strong Duality"

7 / 7 papers shown
Title
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
Toshinori Kitamura
Tadashi Kozuno
Wataru Kumagai
Kenta Hoshino
Y. Hosoe
Kazumi Kasaura
Masashi Hamaya
Paavo Parmas
Yutaka Matsuo
77
2
0
29 Aug 2024
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity
Laixi Shi
Yuejie Chi
OOD
OffRL
44
66
0
11 Aug 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Aivar Sootla
Alexander I. Cowen-Rivers
Taher Jafferjee
Ziyan Wang
D. Mguni
Jun Wang
Haitham Bou-Ammar
48
54
0
14 Feb 2022
Safe Policy Optimization with Local Generalized Linear Function Approximations
Safe Policy Optimization with Local Generalized Linear Function Approximations
Akifumi Wachi
Yunyue Wei
Yanan Sui
OffRL
38
10
0
09 Nov 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke
Melissa Greeff
Adam W. Hall
Zhaocong Yuan
Siqi Zhou
Jacopo Panerati
Angela P. Schoellig
OffRL
41
610
0
13 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
44
68
0
26 Jul 2021
A Theory of Regularized Markov Decision Processes
A Theory of Regularized Markov Decision Processes
Matthieu Geist
B. Scherrer
Olivier Pietquin
68
317
0
31 Jan 2019

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