Abstract:Reinforcement learning (RL) is an area of machine learning concerned with how software agents used to take actions in a nature so as to maximize some faith of increasing benefit. In machine learning, the nature is typically formulated as a Markov decision process (MDP), as many of the reinforcement learning algorithms for this context utilize active programming techniques. Taxis plays a important role in modern public transportation networks, especially in countries where public transportation services are sti… Show more
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