RL-course

This Reinforcement Learning course covers basic topics in sequential decision making under uncertainty.

The author is mainly inspired by the marvellous Practical_RL course which he has studied at YSDA. Practical assignments and hometasks are the adapted versions of the materials presented in Practical_RL course. However Gymnasium is used instead of Gym where it is possible. For instance, Gymnasium does not fully support Atari games so far (December, 2022).

Other sources of inspiration:

1. DeepMind Reinforcement Learning Lecture Series 2021
2. Sutton & Barto book
3. Introduction to Reinforcement Learning with David Silver