SuperMarioBros-ReinforcementLearning
MichaelFish199
This project implements an agent for playing the SuperMarioBros game 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.
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1 data points · 2023-03-23 → 2023-03-23How do you feel about this project?
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Question copied to clipboardWhat is the MichaelFish199/SuperMarioBros-ReinforcementLearning GitHub project? Description: "This project implements an agent for playing the SuperMarioBros game 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.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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