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RL & Bandits

Project Strucutre

  • All runs are initiated with main.py
  • algo contains my own implementation of some algorithms like DQN and PPO
  • model folder contains the neural network architectures used in the learning algorithms (which are stored in algo)
  • trained contains trained agents (neural networks) stored in .pt format using PyTorch, as well as video recordings of agent behavior
  • utils contains environment wrappers, validation functions, data loaders, and preprocessing functions, which are used in algorithms implemented in algo
  • cluster contains shell scripts used to run experiments using cluster computer (with slurm)

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