MLEveryday/60_Days_RL_Challenge

60_Days_RL_Challenge中文版

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This project offers a 60-day challenge for individuals eager to master deep reinforcement learning (DRL) techniques, inspired by achievements like AlphaGo Zero and OpenAI's Dota 2 bot. It provides a structured learning path, guiding users through fundamental to advanced DRL algorithms. The challenge delivers weekly topics, curated learning resources (videos, papers), and practical Python code examples to help you understand how these intelligent systems work.

157 stars. No commits in the last 6 months.

Use this if you are a machine learning practitioner, researcher, or engineer with a good grasp of Python, PyTorch, and deep learning basics, and you want to systematically learn and apply advanced deep reinforcement learning algorithms to real-world problems.

Not ideal if you are new to programming or lack foundational knowledge in machine learning, deep learning, or Python, as the content assumes prior expertise in these areas.

artificial-intelligence machine-learning game-AI autonomous-systems algorithm-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

157

Forks

37

Language

Jupyter Notebook

License

MIT

Last pushed

Sep 15, 2018

Commits (30d)

0

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