Awesome-Reinforcement-Learning-Zh

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awesome-reinforcement-learning-zh is an Open Source Research & Education tool that curates Chinese reinforcement learning resources. It provides a comprehensive collection of books, courses, and papers for students and researchers.

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Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is awesome-reinforcement-learning-zh?

awesome-reinforcement-learning-zh is a GitHub repository that serves as a curated collection of reinforcement learning resources, primarily in Chinese. It offers a wide array of materials including foundational books like "Reinforcement Learning: An Introduction" by Sutton and Barto, as well as advanced courses from institutions such as UCL, Stanford, UCB, CMU, and National Taiwan University (taught by Hung-yi Lee). The repository is regularly updated with new materials, including recent conference papers and updated course content, making it a valuable hub for anyone looking to delve into reinforcement learning, especially those who prefer resources in Chinese.

Best used for

Ideal for students and researchers who need to access a comprehensive collection of reinforcement learning materials, including books, university courses, and research papers, particularly those seeking resources in Chinese. Especially valuable for staying updated with the latest academic content in the field.

Common actions

learn reinforcement learning

find educational resources

explore DRL courses

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Capabilities

Key features

Curated reinforcement learning resources
Chinese language materials
Books and course links
Research paper references
Regular updates

Target Audience

studentprofessorteacher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of reinforcement learning resources are available in this repository?

The repository includes a wide range of resources such as foundational textbooks like Sutton's "Reinforcement Learning: An Introduction," links to university courses from institutions like UCL, Stanford, and CMU, and references to significant research papers, particularly those from DeepMind.

Are the materials primarily in Chinese or English?

While the repository itself is organized in Chinese, it curates links to both Chinese-translated materials and original English resources, especially for university courses and research papers. The focus is on providing accessible content for Chinese-speaking learners.

How frequently is the awesome-reinforcement-learning-zh repository updated?

The repository shows evidence of regular updates, with mentions of adding new OpenAI Spinning Up content, updated university courses (e.g., UCB and CMU DRL courses to 2018 fall), and the final version of Sutton's book. This suggests ongoing maintenance to keep the resources current.

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