https://github.com/qfettes/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
https://github.com/qfettes/DeepRL-Tutorials
a2c actor-critic advantage-actor-critic categorical-dqn deep-q-network deep-recurrent-q-network deep-reinforcement-learning deeprl-tutorials double-dqn dueling-dqn gae multi-step-learning noisy-networks ppo prioritized-experience-replay python3 pytorch quantile-regression rainbow reinforcement-learning
Last synced: 5 months ago
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Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
- Host: GitHub
- URL: https://github.com/qfettes/DeepRL-Tutorials
- Owner: qfettes
- Created: 2018-05-31T16:37:34.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2021-05-19T23:12:14.000Z (over 4 years ago)
- Last Synced: 2024-11-05T21:24:49.534Z (11 months ago)
- Topics: a2c, actor-critic, advantage-actor-critic, categorical-dqn, deep-q-network, deep-recurrent-q-network, deep-reinforcement-learning, deeprl-tutorials, double-dqn, dueling-dqn, gae, multi-step-learning, noisy-networks, ppo, prioritized-experience-replay, python3, pytorch, quantile-regression, rainbow, reinforcement-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 152 MB
- Stars: 1,054
- Watchers: 30
- Forks: 324
- Open Issues: 2
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- StarryDivineSky - qfettes/DeepRL-Tutorials - Tutorials项目是用PyTorch编写的深度强化学习算法高质量实现教程。它旨在提供清晰、可复现的代码,帮助学习者理解和应用深度强化学习。项目可能包含多种经典和前沿的深度强化学习算法,例如DQN、Policy Gradient等。通过阅读和运行这些代码,用户可以深入了解算法的工作原理和实现细节。该项目特别强调代码质量,力求简洁易懂,方便学习和修改。它是一个学习和实践深度强化学习算法的优秀资源,适合有一定PyTorch基础的开发者和研究者。项目目标是提供一个可靠的起点,让用户能够快速上手并构建自己的深度强化学习应用。 (漏洞库_漏洞靶场 / 资源传输下载)