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rewards-and-scoring

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MichaelFish199 / SonicTheHedgehog2-ReinforcmentLearning

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This project implements an agent for playing the SonicTheHedgehog2 game from a ROM file using the Proximal Policy Optimization (PPO) algorithm from the stablebaselines3 library. The agent is trained to learn the optimal actions to take at each step in the game in order to complete the level and maximize the score.

game reinforcement-learning sonic-the-hedgehog proximal-policy-optimization rom-files stable-baselines3 rewards-and-scoring game-playing-agents
  • Updated Dec 12, 2022
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