https://github.com/hereismari/easy21
Solving easy21 assigment from RL class by David Silver; A practical guide to get started with RL for beginners.
https://github.com/hereismari/easy21
coursework easy21 reinforcement-learning
Last synced: 24 days ago
JSON representation
Solving easy21 assigment from RL class by David Silver; A practical guide to get started with RL for beginners.
- Host: GitHub
- URL: https://github.com/hereismari/easy21
- Owner: hereismari
- License: apache-2.0
- Created: 2017-09-29T22:31:52.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-08-10T19:54:57.000Z (almost 6 years ago)
- Last Synced: 2025-05-06T21:09:10.120Z (24 days ago)
- Topics: coursework, easy21, reinforcement-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 6.49 MB
- Stars: 18
- Watchers: 2
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Easy 21
Solving Easy 21 assigment from [Reinforcement Learning class by David Silver](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html) + RL guide for beginners.
Full instructions for this task are available [here](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching_files/Easy21-Johannes.pdf).

## About
This resource is intended to be a good place for beginners to get started with RL in a practical
way and is basically a summary of the [RL course by David Silver](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html). To obtain more information about the concepts here discussed please check the course!Special thanks to:
* David Silver for the great RL course;
* [AnalogRL implementation's of easy21](https://github.com/analog-rl/Easy21) that has great graphs
including the gifs you find in this notebook.## How to run this?
You'll need [jupyter](http://jupyter.org/) and Python version >= 2.7. The python libraries you'll need can be found
at the top of the notebook.```bash
git clone https://github.com/mari-linhares/easy21
cd easy21
jupyter notebook
```Hope this helps :sunrise_over_mountains: :v:!