Shypd.aiThe largest open index of AI toolsPractical_RL is an open-source Research & Education tool that provides a comprehensive course in reinforcement learning. It offers practical labs and assignments, making it suitable for both on-campus and online students.
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Practical_RL is an open-source course designed to teach reinforcement learning in a practical and accessible way. It is taught on-campus at HSE and YSDA, and maintained to be friendly for online students, offering materials in both English and Russian. The course emphasizes practicality, covering essential techniques, tricks, and heuristics for solving reinforcement learning problems. Each major concept is accompanied by a lab to provide hands-on experience. The curriculum includes topics such as introduction to RL, value-based methods, model-free RL, approximate deep RL, exploration strategies, policy gradient methods, reinforcement learning for sequence models, partially observed MDPs, advanced policy-based methods, and model-based RL. It encourages community contributions through a 'Git-course' manifesto, welcoming pull requests for improvements and new materials.
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