Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/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.
https://github.com/starlitdreams/pacman-convolutional-q-learning
artificial-intelligence artificial-neural-networks atari cuda deep-learning deep-learning-algorithms deep-q-learning deeplearning gymnasium gymnasium-environment python pytorch
Last synced: 22 days ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/starlitdreams/pacman-convolutional-q-learning
- Owner: StarlitDreams
- License: mit
- Created: 2024-09-11T15:52:03.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-09-18T16:51:05.000Z (about 2 months ago)
- Last Synced: 2024-10-06T02:06:02.257Z (about 1 month ago)
- Topics: artificial-intelligence, artificial-neural-networks, atari, cuda, deep-learning, deep-learning-algorithms, deep-q-learning, deeplearning, gymnasium, gymnasium-environment, python, pytorch
- Language: Python
- Homepage:
- Size: 6.22 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0