Gathers machine learning and deep learning models for Reinforcement Learning.

All agents will be trained on RGB frames or feature values native from the game engine.

Right now I got machine and time limitation, I stopped working on this repository for a while, I promise I will get back.

ES == Evolution Strategies
DL == Deep Learning

How to read the file, game-folder/algorithm/{features, frames}_{DL, ES}.py

This repository will be update overtime.

Do not try any of these code yet, I never tested it before, still in development.

1. Reward based {ES}
2. Policy gradient {ES, DL}
3. Q-learning {ES, DL}
4. Double Q-learning {ES, DL}
5. Recurrent-Q-learning {DL}
6. Double Recurrent-Q-learning {DL}
7. Dueling Q-learning {DL}
8. Dueling Recurrent-Q-learning {DL}
9. Double Dueling Q-learning {DL}
10. Double Dueling Recurrent-Q-learning {DL}
11. Actor-Critic {DL}
12. Actor-Critic Dueling {DL}
13. Actor-Critic Recurrent {DL}
14. Actor-Critic Dueling Recurrent {DL}
15. Async Q-learning {DL}

• Flappy bird
• level 1 mario
• pong
• Catcher
• Pixelcopter
• Raycast Maze
• Snake
• Water World
• Dooms