StarlitDreams/pacman-convolutional-q-learning
This project implements a Deep Q-Network (DQN) using PyTorch to train an agent to play Atari's Ms. Pac-Man. It utilizes reinforcement learning with a convolutional neural network (CNN) for image processing. Features include experience replay, frame preprocessing, and CUDA support, with trained model saving and video rendering of gameplay.
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Python
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MIT
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Sep 18, 2024
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