https://github.com/nashory/rl-tutorial-by-games
Game collection trained by SOTA reinforcement learning algorithms for tutorial
https://github.com/nashory/rl-tutorial-by-games
a2c atari deep-learning dqn game pytorch reinforcement-learning tutorial
Last synced: 5 months ago
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Game collection trained by SOTA reinforcement learning algorithms for tutorial
- Host: GitHub
- URL: https://github.com/nashory/rl-tutorial-by-games
- Owner: nashory
- Created: 2017-10-14T10:27:37.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T00:40:57.000Z (about 3 years ago)
- Last Synced: 2025-04-02T20:38:31.525Z (10 months ago)
- Topics: a2c, atari, deep-learning, dqn, game, pytorch, reinforcement-learning, tutorial
- Language: Python
- Homepage:
- Size: 219 KB
- Stars: 5
- Watchers: 2
- Forks: 1
- Open Issues: 5
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Metadata Files:
- Readme: README.md
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README
# rl-tutorial-by-games
Game collection trained by SOTA reinforcement learning algoritms for tutorial
## Target Games
+ Atari: breakout-v0
+ ATari: spaceinvader
+ Supermario
+ Flappybird
+ Tetris
## Prerequisites
+ PyTorch
+ virtualenv
## How to run?
to be updated...
## Results
to be updated...
## Acknowledgement
+ referenced the code from [[Reinforcement Learning (DQN) tutorial]](http://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html), and [[pytorch-dqn]](https://github.com/transedward/pytorch-dqn)
## Author
MinchulShin, [@nashory](https://github.com/nashory)
__Any contributions are welcome! :)__