: Optimizing the dispatching and rebalancing of autonomous vehicle fleets (e.g., ride-sharing services) to minimize wait times and maximize efficiency.
The .zip file contains the of the algorithms discussed in the paper. The research focuses on: M_S_2o_6_k3gn.zip
: The authors introduce a decentralized training method with centralized execution that handles the large, dynamic scale of urban transport networks. : Optimizing the dispatching and rebalancing of autonomous
: Learning to Control Autonomous Fleets via Sample-Efficient Deep Reinforcement Learning and Stefano V. Albrecht.
: Filippos Christianos, Georgios Papoudakis, Aris Filos, and Stefano V. Albrecht.