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https://github.com/soheil-mp/rainbow-algorithm-rl
A PyTorch implementation of the Rainbow algorithm for playing Atari games using deep reinforcement learning. This repository contains a Rainbow DQN agent that combines several improvements on the original DQN, including Double Q-learning, Prioritized Experience Replay, Dueling Networks, Multi-step Learning, Distributional RL, and Noisy Nets.
https://github.com/soheil-mp/rainbow-algorithm-rl
Last synced: 24 days ago
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A PyTorch implementation of the Rainbow algorithm for playing Atari games using deep reinforcement learning. This repository contains a Rainbow DQN agent that combines several improvements on the original DQN, including Double Q-learning, Prioritized Experience Replay, Dueling Networks, Multi-step Learning, Distributional RL, and Noisy Nets.
- Host: GitHub
- URL: https://github.com/soheil-mp/rainbow-algorithm-rl
- Owner: soheil-mp
- Created: 2024-07-06T17:29:03.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-07-06T17:30:53.000Z (6 months ago)
- Last Synced: 2024-12-09T09:58:01.885Z (25 days ago)
- Language: Jupyter Notebook
- Size: 122 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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