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Restructuring MADRaS into a Multi-agent MDP #39

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@Santara Santara commented Dec 15, 2019

Pending work: [Do not merge with master until the list is empty]

  1. Add randomization features
  2. Add training code for rllib
  3. Add done handling for the case when the environment done is set when all the agents hit done.

@rudrasohan rudrasohan added the enhancement New feature or request label Dec 15, 2019
@rudrasohan rudrasohan added this to the Multi Agent Working milestone Dec 15, 2019
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rudrasohan commented Oct 5, 2020

Updates:

For bringing the team up to speed with the latest developments and future actions.

Required:

  • Simplify code structure. Merge v1 and v2 version of the files (For eg., reward handler, obs handler, and done handler).
  • Add randomization and experiment automation features to v2.
  • Make single agent a special case of Multi-Agent structure.

Additional (To be covered in either this or a separate PR):

  • Unify agent architecture and implement agents with hierarchy (General = > Split (Traffic, Learning)).
  • Create a general controller interface.
  • Ground-Up rebuild of the communication buffer.

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