vojtamolda/reinforcement-learning-an-introduction
Jupyter notebook solutions to exercises in the foundational reinforcement learning textbook by Sutton and Barto.
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A repository containing solutions and implementations for exercises and programming problems from the classic RL textbook. The code uses Python 3, NumPy, and OpenAI Gym as the environment API. It covers tabular RL methods including multi-armed bandits, Q-learning, temporal-difference learning, and dynamic programming through code examples and accompanying PDF write-ups.
Frequently asked
- What is vojtamolda/reinforcement-learning-an-introduction?
- Jupyter notebook solutions to exercises in the foundational reinforcement learning textbook by Sutton and Barto.
- Is reinforcement-learning-an-introduction open source?
- Yes — vojtamolda/reinforcement-learning-an-introduction is an open-source project tracked on heatdrop.
- What language is reinforcement-learning-an-introduction written in?
- vojtamolda/reinforcement-learning-an-introduction is primarily written in Jupyter Notebook.
- How popular is reinforcement-learning-an-introduction?
- vojtamolda/reinforcement-learning-an-introduction has 412 stars on GitHub.
- Where can I find reinforcement-learning-an-introduction?
- vojtamolda/reinforcement-learning-an-introduction is on GitHub at https://github.com/vojtamolda/reinforcement-learning-an-introduction.