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Reinforcement Learning of Risk-Constrained Policies in Markov Decision
  Processes

Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes

AAAI Conference on Artificial Intelligence (AAAI), 2020
27 February 2020
T. Brázdil
K. Chatterjee
Petr Novotný
Jiří Vahala
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes"

4 / 4 papers shown
Title
Tail-Risk-Safe Monte Carlo Tree Search under PAC-Level Guarantees
Tail-Risk-Safe Monte Carlo Tree Search under PAC-Level Guarantees
Zuyuan Zhang
A. Ghosh
Tian-Shing Lan
57
0
0
07 Aug 2025
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto
  Curves
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto CurvesAAAI Conference on Artificial Intelligence (AAAI), 2024
Martin Kurečka
Václav Nevyhoštěný
Petr Novotný
Vít Unčovský
201
1
0
18 Dec 2024
ConstrainedZero: Chance-Constrained POMDP Planning using Learned
  Probabilistic Failure Surrogates and Adaptive Safety Constraints
ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints
Robert J. Moss
Arec Jamgochian
Johannes Fischer
Anthony Corso
Mykel J. Kochenderfer
163
5
0
01 May 2024
Safe Distributional Reinforcement Learning
Safe Distributional Reinforcement LearningInternational Conference on Distributed Artificial Intelligence (DAI), 2021
Jianyi Zhang
Paul Weng
OffRL
91
16
0
26 Feb 2021
1