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Constrained Markov Decision Processes via Backward Value Functions

Constrained Markov Decision Processes via Backward Value Functions

26 August 2020
Harsh Satija
P. Amortila
Joelle Pineau
ArXivPDFHTML

Papers citing "Constrained Markov Decision Processes via Backward Value Functions"

14 / 14 papers shown
Title
Human-AI Collaboration in Real-World Complex Environment with
  Reinforcement Learning
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning
Md Saiful Islam
Srijita Das
S. Gottipati
William Duguay
Clodéric Mars
Jalal Arabneydi
Antoine Fagette
Matthew J. Guzdial
Matthew E. Taylor
41
1
0
23 Dec 2023
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation
  Strategies towards Equal Long-term Benefit Rate
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
Yuancheng Xu
Chenghao Deng
Yanchao Sun
Ruijie Zheng
Xiyao Wang
Jieyu Zhao
Furong Huang
37
4
0
07 Sep 2023
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
Akhil Agnihotri
R. Jain
Haipeng Luo
29
2
0
02 Feb 2023
Guiding Safe Exploration with Weakest Preconditions
Guiding Safe Exploration with Weakest Preconditions
Greg Anderson
Swarat Chaudhuri
Işıl Dillig
46
6
0
28 Sep 2022
Constrained Update Projection Approach to Safe Policy Optimization
Constrained Update Projection Approach to Safe Policy Optimization
Long Yang
Jiaming Ji
Juntao Dai
Linrui Zhang
Binbin Zhou
Pengfei Li
Yaodong Yang
Gang Pan
41
43
0
15 Sep 2022
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
117
241
0
20 May 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
35
10
0
09 Nov 2021
Offline Reinforcement Learning with Soft Behavior Regularization
Offline Reinforcement Learning with Soft Behavior Regularization
Haoran Xu
Xianyuan Zhan
Jianxiong Li
Honglei Yin
OffRL
31
31
0
14 Oct 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning
Haoran Xu
Xianyuan Zhan
Xiangyu Zhu
OffRL
16
86
0
19 Jul 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement
  Learning via Frank-Wolfe Policy Optimization
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization
Jyun-Li Lin
Wei-Ting Hung
Shangtong Yang
Ping-Chun Hsieh
Xi Liu
32
14
0
22 Feb 2021
Forethought and Hindsight in Credit Assignment
Forethought and Hindsight in Credit Assignment
Veronica Chelu
Doina Precup
H. V. Hasselt
22
25
0
26 Oct 2020
Learning with Safety Constraints: Sample Complexity of Reinforcement
  Learning for Constrained MDPs
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
Aria HasanzadeZonuzy
Archana Bura
D. Kalathil
S. Shakkottai
32
38
0
01 Aug 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
73
314
0
06 Jun 2015
Safe Exploration in Markov Decision Processes
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
78
308
0
22 May 2012
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