Multi-agent deep reinforcement learning with centralized training and
decentralized execution for transportation infrastructure management

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management

23 January 2024

K. G. Papakonstantinou

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Papers citing "Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management"

19 / 19 papers shown

Title
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 58 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 89 9 0 20 Jun 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 92 27 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 118 36 0 02 Sep 2022
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 122 53 0 09 Sep 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 121 106 0 24 Jul 2020
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints C. Andriotis K. Papakonstantinou 43 89 0 02 Jul 2020
Hamiltonian MCMC methods for estimating rare events probabilities in high-dimensional problems K. Papakonstantinou Hamed Nikbakht Elsayed M. Eshra 26 7 0 01 Jul 2020
Managing engineering systems with large state and action spaces through deep reinforcement learning Varun Chandrasekaran K. Papakonstantinou AI4CE 59 164 0 05 Nov 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 166 1,677 0 30 Mar 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 571 19,315 0 20 Jul 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 156 2,090 0 24 May 2017
Sample Efficient Actor-Critic with Experience Replay Ziyun Wang V. Bapst N. Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas 109 762 0 03 Nov 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 177 7,678 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 330 13,295 0 09 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 283 6,807 0 19 Feb 2015
The Complexity of Decentralized Control of Markov Decision Processes D. Bernstein S. Zilberstein N. Immerman 111 1,595 0 16 Jan 2013
Optimal and Approximate Q-value Functions for Decentralized POMDPs F. Oliehoek M. Spaan N. Vlassis OffRL 116 503 0 31 Oct 2011