MLEveryday/60_Days_RL_Challenge
60_Days_RL_Challenge中文版
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.
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Jupyter Notebook
License
MIT
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Last pushed
Sep 15, 2018
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