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The grouped-actions wrapper performance is lower compared to other environments (e.g. https://github.com/uvipen/Tetris-deep-Q-learning-pytorch) by rougly 5x. The goal would be to equally performant or better than this baseline.
As a first step, one could measure the performance (SPS) for a random policy without learning for this project and the baseline and investigate potential bottlenecks.
The text was updated successfully, but these errors were encountered:
The grouped-actions wrapper performance is lower compared to other environments (e.g. https://github.com/uvipen/Tetris-deep-Q-learning-pytorch) by rougly 5x. The goal would be to equally performant or better than this baseline.
As a first step, one could measure the performance (SPS) for a random policy without learning for this project and the baseline and investigate potential bottlenecks.
The text was updated successfully, but these errors were encountered: