Search Results for author: Takuma Oda

Found 2 papers, 0 papers with code

Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network

no code implementations13 Feb 2021 Takuma Oda

Ubiquitous mobile computing have enabled ride-hailing services to collect vast amounts of behavioral data of riders and drivers and optimize supply and demand matching in real time.

reinforcement-learning

MOVI: A Model-Free Approach to Dynamic Fleet Management

no code implementations13 Apr 2018 Takuma Oda, Carlee Joe-Wong

Since DQNs scale poorly with a large number of possible dispatches, we streamline our DQN training and suppose that each individual vehicle independently learns its own optimal policy, ensuring scalability at the cost of less coordination between vehicles.

Management

Cannot find the paper you are looking for? You can Submit a new open access paper.