: Learning to Control Autonomous Fleets via Sample-Efficient Deep Reinforcement Learning
The .zip file contains the of the algorithms discussed in the paper. The research focuses on: M_S_2o_6_k3gn.zip
: Optimizing the dispatching and rebalancing of autonomous vehicle fleets (e.g., ride-sharing services) to minimize wait times and maximize efficiency. : Learning to Control Autonomous Fleets via Sample-Efficient
The filename is the identifier for the supplementary code and data associated with the research paper "Learning to Control Autonomous Fleets via Sample-Efficient Deep Reinforcement Learning" . Paper Overview and Stefano V. Albrecht.
: Filippos Christianos, Georgios Papoudakis, Aris Filos, and Stefano V. Albrecht.