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Reward design for driver repositioning using multi-agent reinforcement learning

Zhenyu Shou, Xuan Di

2020Transportation Research Part C Emerging Technologies72 citationsDOIOpen Access PDF

Topics & Concepts

Reinforcement learningTollComputer scienceMathematical optimizationPiecewiseService (business)Process (computing)Operations researchSimulationTransport engineeringEngineeringArtificial intelligenceMathematicsBusinessMathematical analysisGeneticsOperating systemMarketingBiologyTransportation and Mobility InnovationsTransportation Planning and OptimizationTraffic control and management
Reward design for driver repositioning using multi-agent reinforcement learning | Litcius