https://github.com/jonad/smartcab
Train a SmartCab how to drive using reinforcement learning.
https://github.com/jonad/smartcab
bandit-learning markov-decision-processes pygame python reinforcement-learning
Last synced: 21 days ago
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Train a SmartCab how to drive using reinforcement learning.
- Host: GitHub
- URL: https://github.com/jonad/smartcab
- Owner: jonad
- Created: 2017-03-17T22:48:06.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-11-28T20:57:48.000Z (over 8 years ago)
- Last Synced: 2024-12-27T12:09:38.653Z (over 1 year ago)
- Topics: bandit-learning, markov-decision-processes, pygame, python, reinforcement-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 632 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Reinforcement Learning
## Project: Train a Smartcab How to Drive
### Install
This project requires **Python 2.7** with the [pygame](https://www.pygame.org/wiki/GettingStarted
) library installed
### Run
In a terminal or command window, navigate to the top-level project directory `smartcab/` (that contains this README) and run one of the following commands:
```python smartcab/agent.py```
```python -m smartcab.agent```
This will run the `agent.py` file and execute your agent code.