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To run the code, you should 1) create python 3.7 virtual environment 2) pip install -r requirements.txt 3) obtain trained agents: https://github.com/DLR-RM/rl-trained-agents and https://github.com/uvipen/Super-mario-bros-PPO-pytorch 4) obtain atari ROMS: https://github.com/openai/atari-py 5) ProtoX, ResNet-BC, and VIPER have associated jupyter notebooks; GAIfO is to be run on the command line To run ProtoX or ResNet-BC on mario games, use files in ProtoX_Mario folder To run ProtoX or ResNet-BC on atari games, use files in ProtoX_Atari folder VIPER and GAIFO files are in the baselines folder Training data and model checkpoints were not included as they would exceed the 100MB limit
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Explaining a Reinforcement Learning Agent via Prototyping
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