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A Policy Iteration Approach for Flock Motion Control
An online model-free policy iteration mechanism is developed here to guide a flock of agents to follow an independent command generator over a time-varying graph topology.
An Adaptive Fuzzy Reinforcement Learning Cooperative Approach for the Autonomous Control of Flock Systems
The flock-guidance problem enjoys a challenging structure where multiple optimization objectives are solved simultaneously.
Responding to Illegal Activities Along the Canadian Coastlines Using Reinforcement Learning
This article elaborates on how machine learning (ML) can leverage the solution of a contemporary problem related to the security of maritime domains.
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