https://github.com/harvitronix/rl-rc-car

Implements basic reinforcement learning algorithms to control a remote-control car in a room.
https://github.com/harvitronix/rl-rc-car

Last synced: 14 days ago
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Implements basic reinforcement learning algorithms to control a remote-control car in a room.

• Host: GitHub
• URL: https://github.com/harvitronix/rl-rc-car
• Owner: harvitronix
• License: mit
• Created: 2016-06-27T01:18:29.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2016-07-24T20:45:32.000Z (over 8 years ago)
• Last Synced: 2023-05-27T03:30:37.366Z (over 1 year ago)
• Language: Python
• Size: 193 MB
• Stars: 44
• Watchers: 8
• Forks: 20
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# Using reinforcement learning to train an autonomous remote control car

**NOTE:** This is currently very much a work in progress. For a more complete, runnable reinforcement learning project with Python, see my other project that this relies on...

This project is heavily reliant on the work done in my other RL project, which can be found here: https://github.com/harvitronix/reinforcement-learning-car

Think of this project as an extension of that one.

More information about running this project will be available soon.

## Credits

I'm grateful to the following people and the work they did that helped me learn how to do this:

- Playing Atari with Deep Reinforcement Learning - http://arxiv.org/pdf/1312.5602.pdf

- Deep learning to play Atari games: https://github.com/spragunr/deep_q_rl

- Another deep learning project for video games: https://github.com/asrivat1/DeepLearningVideoGames

- A great tutorial on reinforcement learning that a lot of my project is based on: http://outlace.com/Reinforcement-Learning-Part-3/