Thomas E. Kent
Thomas E. Kent
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Reinforcement Learning
Single-Agent Policies for the Multi-Agent Persistent Surveillance Problem via Artificial Heterogeneity
Modelling and planning as well as Machine Learning techniques such as Reinforcement Learning are often difficult in multi-agent problems. With increasing numbers of agents the decision space grows rapidly and is made increasingly complex through …
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