Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles
Abstract: Highlights•A Deep Reinforcement Learning framework for patrolling with multi-agent systems.•A Variational Auto-Encoder model to enhance the estimation of model-based scenarios.•A comprehensive comparison with previous works and methods.
External IDs:dblp:journals/eswa/LuisBAGM25
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