Tetris-deep-Q-learning-pytorch
pytorch-learn-reinforcement-learning
Tetris-deep-Q-learning-pytorch | pytorch-learn-reinforcement-learning | |
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2 | 3 | |
445 | 139 | |
- | - | |
1.2 | 0.0 | |
about 1 year ago | almost 3 years ago | |
Python | Python | |
MIT License | MIT License |
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Tetris-deep-Q-learning-pytorch
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Reinforcement Learning deploy in Modern Tetris project
if the former, this guy trained a DQN agent to play his simple implementation of the game. you can find the code for the game here and make any modifications you need
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AI agent plays Contra
https://github.com/uvipen/Tetris-deep-Q-learning-pytorch For tetris you coult take a look at this one :)
pytorch-learn-reinforcement-learning
What are some alternatives?
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pytorch-GAT - My implementation of the original GAT paper (VeliÄkoviÄ et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!