/Regular-Decision-Processes

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Regular-Decision-Processes

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Development Setup

Requirements

$ conda create --name rdp python=3.8.10
$ conda activate rdp
$ pip install -r requirements.txt
$ cd ./nonmarkov-envs
$ pip install .

Run

$ cd ./nonmarkov-env/nonmarkov-env
$ python __main__.py --env ENV_NAME --only-mcts ONLY-MCTS --episode EPISODE --max-iterations MAX-ITERATION --min-samples MIN-SAMPLE --mixed MIXED

where

  • ENV_NAME is the name of the domain, you can choose between: CheatMAB, RotatingMAB, RotatingMaze
  • ONLY-MCTS choose if you want to perform only mcts algorithm, default is False
  • EPISODE length of the episode of the env, default is 5
  • MAX-ITERATION maximum number of iterations of the S3M algorithm, default is 4500
  • MIN-SAMPLE minimum number of samples of the S3M algorithm, default is 100
  • MIXED choose if you want to perform mixed S3M algorithm and MCTS saving figure, default is False

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