2 papers
cs.MA2026
The price of decentralization in managing engineering systems through multi-agent reinforcement learning
Prateek Bhustali, Pablo G. Morato, Konstantinos G. Papakonstantinou +1
Inspection and maintenance (I&M) planning involves sequential decision making under uncertainties and incomplete information, and can be modeled as a partially observable Markov de…
cs.AI2025
Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers +3
In this paper, we introduce Multi-Objective Deep Centralized Multi-Agent Actor-Critic (MO- DCMAC), a multi-objective reinforcement learning (MORL) method for infrastructural mainte…