VizDoom-ReinforcementLearning
MichaelFish199
This project implements an agent for playing the VizDoom game on various levels 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.
Growth over time
1 data points · 2023-03-23 → 2023-03-23How do you feel about this project?
Ask AI about VizDoom-ReinforcementLearning
Question copied to clipboardWhat is the MichaelFish199/VizDoom-ReinforcementLearning GitHub project? Description: "This project implements an agent for playing the VizDoom game on various levels 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.
Question is copied to clipboard — paste it after the AI opens.
How to clone VizDoom-ReinforcementLearning
Clone via HTTPS
Clone via SSH
Download ZIP
Download master.zipFound an issue?
Report bugs or request features on the VizDoom-ReinforcementLearning issue tracker:
Open GitHub Issues