RSTR: A Two-Layer Taxi Repositioning Strategy Using Multi-Agent Reinforcement Learning
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS（2024）
Key words
Public transportation,Supply and demand,Urban areas,Roads,Q-learning,Training,Markov decision processes,Electronic mail,Deep reinforcement learning,Vectors,Taxi repositioning,multi-agent reinforcement learning,scheduling strategy,A2C model,Markov decision process
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