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"

30 / 30 papers shown

Title
A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Amirreza Yasami Mohammadali Tofigh Mahdi Shahbakhti Charles Robert Koch 15 0 0 09 Jun 2025
Decoupled Hierarchical Reinforcement Learning with State Abstraction for Discrete Grids Qingyu Xiao Yuanlin Chang Youtian Du 18 0 0 01 Jun 2025
Dual-Individual Genetic Algorithm: A Dual-Individual Approach for Efficient Training of Multi-Layer Neural Networks Tran Thuy Nga Truong Jooyong Kim 99 0 0 24 Apr 2025
An Advantage-based Optimization Method for Reinforcement Learning in Large Action Space Hai Lin Cheng Huang Zhihong Chen OffRL 106 0 0 17 Dec 2024
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learning Qiliang Chen Babak Heydari DRL 68 0 0 30 Oct 2024
InfraLib: Enabling Reinforcement Learning and Decision Making for Large Scale Infrastructure Management Pranay Thangeda Trevor S. Betz M. Grussing Melkior Ornik OffRL AI4CE 47 0 0 05 Sep 2024
Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization Jesse van Remmerden Maurice Kenter D. Roijers Charalampos Andriotis Yingqian Zhang Zaharah Bukhsh 52 1 0 10 Jun 2024
Opinion-Guided Reinforcement Learning Kyanna Dagenais Istvan David 60 1 0 27 May 2024
Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management M. Saifullah K. G. Papakonstantinou C. Andriotis S. M. Stoffels AI4CE 98 2 0 23 Jan 2024
An investigation of belief-free DRL and MCTS for inspection and maintenance planning Daniel Koutas E. Bismut Daniel Straub 53 2 0 22 Dec 2023
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance Giacomo Arcieri C. Hoelzl Oliver Schwery D. Štraub K. Papakonstantinou Eleni Chatzi 60 15 0 16 Jul 2023
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL Pascal Leroy P. G. Morato J. Pisane A. Kolios D. Ernst OffRL 96 9 0 20 Jun 2023
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning Xuechen Mu H. Zhuo Chong Chen Kai Zhang Chao Yu Jianye Hao 80 1 0 14 Jun 2023
MARC: A multi-agent robots control framework for enhancing reinforcement learning in construction tasks Kangkang Duan C. W. Suen Zhengbo Zou 31 1 0 23 May 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 51 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 105 27 0 15 Dec 2022
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning Cesare Caputo Michel-Alexandre Cardin Pudong Ge Fei Teng A. Korre Ehecatl Antonio del Rio Chanona 39 18 0 08 Dec 2022
Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks Nandar Hlaing P. G. Morato F. D. Santos W. Weijtjens C. Devriendt P. Rigo 60 7 0 31 Oct 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 123 36 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 70 35 0 20 Jun 2022
A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning Jingchen Li Haobin Shi Kao-Shing Hwang 31 3 0 22 Feb 2022
Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games Patrick Phillips 30 4 0 10 Oct 2021
Information Avoidance and Overvaluation in Sequential Decision Making under Epistemic Constraints Shuo Li M. Pozzi 25 0 0 09 Jun 2021
Optimal Inspection and Maintenance Planning for Deteriorating Structural Components through Dynamic Bayesian Networks and Markov Decision Processes P. G. Morato K. Papakonstantinou C. Andriotis J. S. Nielsen P. Rigo 134 53 0 09 Sep 2020
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities Zhaoyi Xu J. Saleh 79 352 0 19 Aug 2020
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints C. Andriotis K. Papakonstantinou 58 89 0 02 Jul 2020
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Y. Sung 52 13 0 04 Jun 2020
Value of structural health information in partially observable stochastic environments C. Andriotis K. Papakonstantinou Eleni Chatzi 130 9 0 28 Dec 2019
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 79 53 0 23 Dec 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 120 437 0 11 Aug 2019