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: Originally published in Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) . Context of the File

: The authors introduce a decentralized training method with centralized execution that handles the large, dynamic scale of urban transport networks.

The .zip file contains the of the algorithms discussed in the paper. The research focuses on:

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