: 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