Practical_RL
An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.
What is Practical_RL?
Practical_RL is an open-source course on reinforcement learning that provides a comprehensive, practical introduction to RL concepts and techniques. It includes lectures, seminars, and hands-on assignments designed to help learners understand and apply RL in real-world scenarios. The course is maintained to be accessible to both online and on-campus students, with materials available in English and Russian.
Students, researchers, and developers interested in learning reinforcement learning through practical, hands-on experience, including those enrolled at HSE and YSDA, as well as online learners worldwide.
It stands out for its strong emphasis on practicality, community-driven improvements, and a well-structured syllabus that balances theory with implementation, making it a valuable resource for anyone seeking to master RL in a collaborative, open environment.
Overview
A course in reinforcement learning in the wild
Use Cases
Best For
- Learning reinforcement learning through hands-on labs and practical assignments
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