SuperMarioBros-ReinforcementLearning

agent

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.

How to download and setup SuperMarioBros-ReinforcementLearning

Open terminal and run command

git clone https://github.com/MichaelFish199/SuperMarioBros-ReinforcementLearning.git

git clone is used to create a copy or clone of SuperMarioBros-ReinforcementLearning repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with SuperMarioBros-ReinforcementLearning https://github.com/MichaelFish199/SuperMarioBros-ReinforcementLearning/archive/master.zip

Or simply clone SuperMarioBros-ReinforcementLearning with SSH

[email protected]:MichaelFish199/SuperMarioBros-ReinforcementLearning.git

If you have some problems with SuperMarioBros-ReinforcementLearning

You may open issue on SuperMarioBros-ReinforcementLearning support forum (system) here: https://github.com/MichaelFish199/SuperMarioBros-ReinforcementLearning/issues

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