Multi-agent reinforcement learning for adaptive demand response in smart cities
نویسندگان
چکیده
منابع مشابه
Adaptive State Representations for Multi-agent Reinforcement Learning
When multiple agents act in the same environment, single-agent reinforcement learning (RL) techniques often fail, as they do not take into account other agents. An agent using single agent RL generally does not have sufficient information to obtain a good policy. However, multi-agent techniques that simply extend the state space to include information on the other agents suffer from a large ove...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2019
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1343/1/012058