Tetris-deep-Q-learning-pytorch
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Deep Q-learning for playing tetris game
What does env.get_next_states() return? 'next_state' shows tensor([ 0., 75., 5., 107.], device='cuda:0') 'next_actions' shows ((0, 0), (1, 0), ... , (8, 3))
Thank you very much for sharing! I am just wondering how many epochs did you train to reach the checkpoint that you posted.
Found that when running this on my machine the Tetris pieces were incredibly blurry. Changing Line 242 in src/tetris.py from `img = img.resize((self.width * self.block_size, self.height * self.block_size))` to `img...
Hey! Great work, that could be a great example in ML courses. It would maybe benefit from having a pip requirement.txt files that would automatize the install: ```python Pillow==7.0.0 opencv-python==4.2.0.32...