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Sonic the Hedgehog 2 - Emerald Hill Zone Part 1 DQN learning

This is a refactor of a project from 2018 where DQN was implemented in Tensorflow 1.x with Openai's gym-retro. Here it is refactored to Pytorch 2.x using the currently maintained stable-retro.

Setup

python3 -m venv "venv"
. venv/bin/activate
pip install -r requirements.txt
mkdir roms && wget -P roms https://archive.org/download/ni-roms/roms/Sega%20-%20Mega%20Drive%20-%20Genesis.zip/Sonic%20The%20Hedgehog%202%20%28World%29%20%28Rev%20A%29.zip
python3 -m retro.import ./roms

[Importing ROMs]

Train

python train_dqn.py

Follow the progress with Tensorboard

tensorboard --logdir ./runs

Record and play

Play (and record) an epsiode played with trained DQN

python play_episode.py path/to/weights.pt greedy --record ./movie.bk2

Record a human playing an episode

python human_record.py --record ./movie.bk2

Replay an episode from an movie (converts to mp4)

python3 -m retro.scripts.playback_movie ./movie.bk2

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