Managing engineering systems with large state and action spaces through deep reinforcement learning

5 November 2018

Papers citing "Managing engineering systems with large state and action spaces through deep reinforcement learning"

8 / 8 papers shown

Title
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning Xuechen Mu H. Zhuo Chong Chen Kai Zhang Chao Yu Jianye Hao 43 1 0 14 Jun 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 32 7 0 01 Mar 2023
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems Giacomo Arcieri C. Hoelzl Oliver Schwery D. Štraub K. Papakonstantinou Eleni Chatzi 22 22 0 15 Dec 2022
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning P. G. Morato C. Andriotis K. Papakonstantinou P. Rigo AI4CE 29 35 0 02 Sep 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 29 35 0 20 Jun 2022
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 25 52 0 23 Dec 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 53 413 0 11 Aug 2019
Off-Policy Actor-Critic T. Degris Martha White R. Sutton OffRL CML 163 220 0 22 May 2012