reinforcement-learning-an-introduction
The project provides a Python implementation based on 'Reinforcement Learning: An Introduction (2nd Edition)' by Sutton & Barto. It includes key algorithms and techniques demonstrated in the book, supported by detailed visual examples and code, covering subjects like bandit problems and gridworld. Utilizes Python tools such as numpy and matplotlib to deliver hands-on learning experiences for understanding reinforcement learning concepts.
