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Autonomous and Adaptive System M

This repository is the result of the the project work for the exam.

Files

  • impala -> contains the impala CNN architecture
  • nature -> contains the Nature CNN architecture
  • keras-procgen.py -> TD(0)
  • reinforce-procgen.py -> REINFORCE with baseline
  • advantage-keras-procgen.py -> A2C

How to run

USE_IMPALA=1 NUM_LEVEL=5 ENV_NAME=chaser GENERATE_GIF=1 python run-keras-procgen.py <weights_file>

How to train

USE_IMPALA=1 NUM_LEVEL=5 ENV_NAME=chaser DONE_REWARD=d python reinforce-procgen.py lr clip