https://github.com/mdeib/rl-intro-programming-solutions
Implementations and write-ups for all programming exercises in RL: An Introduction 2nd edition by Sutton and Barto
https://github.com/mdeib/rl-intro-programming-solutions
aritificial-intelligence reinforcement-learning rl
Last synced: 8 months ago
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Implementations and write-ups for all programming exercises in RL: An Introduction 2nd edition by Sutton and Barto
- Host: GitHub
- URL: https://github.com/mdeib/rl-intro-programming-solutions
- Owner: mdeib
- Created: 2020-06-11T04:01:35.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-15T19:20:12.000Z (almost 6 years ago)
- Last Synced: 2025-07-19T00:54:12.628Z (8 months ago)
- Topics: aritificial-intelligence, reinforcement-learning, rl
- Language: Python
- Size: 688 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Reinforcement Learning: An Introduction
Python implementations of all programming exercises in Sutton and Barto's book [Reinforcement Learning: An Introduction (2nd Edition)](http://incompleteideas.net/book/RLbook2020.pdf). Code for each exercise is contained in its own folder along with a readme detailing the solution and its conclusions. The code is written to provide a short and simple solution and often does not reflect standard RL conventions.
# Usage
To view the solution for an exercise simply navigate to the respective folder. The code for each exercise is in a self-contained python file and can be easily run with the command:
```commandline
python exercise-number.py
```