https://github.com/gsurma/deep_traffic
MIT DeepTraffic top 2% solution (75.01 mph) 🚗.
https://github.com/gsurma/deep_traffic
artificial-intelligence deep-traffic dqn hyperparameter-optimization javascript machine-learning q-learning reinforcement-learning traffic
Last synced: about 1 month ago
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MIT DeepTraffic top 2% solution (75.01 mph) 🚗.
- Host: GitHub
- URL: https://github.com/gsurma/deep_traffic
- Owner: gsurma
- License: mit
- Created: 2019-01-05T19:47:21.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-07-09T08:54:07.000Z (almost 4 years ago)
- Last Synced: 2025-04-01T10:14:36.864Z (3 months ago)
- Topics: artificial-intelligence, deep-traffic, dqn, hyperparameter-optimization, javascript, machine-learning, q-learning, reinforcement-learning, traffic
- Language: JavaScript
- Homepage: https://gsurma.github.io
- Size: 5.81 MB
- Stars: 55
- Watchers: 3
- Forks: 11
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# Deep Traffic
Top 2% (75.01 mph) solution for the [MIT's DeepTraffic Reinforcment Learning Competition](https://selfdrivingcars.mit.edu/deeptraffic/).
Check out corresponding Medium article:
[DeepTraffic - DQN Tuning for Traffic Navigation (75.01 MPH Solution) 🚗](https://towardsdatascience.com/deeptraffic-dqn-tuning-for-traffic-navigation-75-01-mph-solution-23087e2411cf)
# Visualization
## Author
**Greg (Grzegorz) Surma**
[**PORTFOLIO**](https://gsurma.github.io)
[**GITHUB**](https://github.com/gsurma)
[**BLOG**](https://medium.com/@gsurma)