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Oznake: computer science;machine learning;reinforcement learning
Distributed reinforcement learning (DRL) has been studied as an approach to learn control policies thorough interactions between distributed agents and environments. The main emphasis of DRL has been put on the way to learn sub-optimal policies with the least or limited sharing of agents' perception ...
Leto: 2008 Vir: videolectures.net
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