yandexdataschool/Practical_RL
An open university course on reinforcement learning taught at HSE and YSDA with practical assignments.
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This repository contains course materials for a reinforcement learning curriculum covering deep RL algorithms, policy gradients, Q-learning, and actor-critic methods. Assignments implement RL agents using PyTorch and TensorFlow with Keras, with labs designed to build intuition through practical problems. The course is structured as a git-based MOOC friendly to both English and Russian online students.
Frequently asked
- What is yandexdataschool/Practical_RL?
- An open university course on reinforcement learning taught at HSE and YSDA with practical assignments.
- Is Practical_RL open source?
- Yes — yandexdataschool/Practical_RL is open source, released under the Unlicense license.
- What language is Practical_RL written in?
- yandexdataschool/Practical_RL is primarily written in Jupyter Notebook.
- How popular is Practical_RL?
- yandexdataschool/Practical_RL has 6.5k stars on GitHub.
- Where can I find Practical_RL?
- yandexdataschool/Practical_RL is on GitHub at https://github.com/yandexdataschool/Practical_RL.