https://github.com/rohit123-wq/aws-deepracer-autonomous-racing-model
Developed an AWS DeepRacer model using Python & the PPO algorithm, leveraging TensorFlow to train & fine-tune a deep reinforcement learning model. Designed a custom reward function & optimized hyperparameters to improve policy learning & navigation performance. Utilized AWS infrastructure for scalable training & deployment.
https://github.com/rohit123-wq/aws-deepracer-autonomous-racing-model
aws aws-deepracer aws-infrastructure deep-learning deepracer deployment hyperparameter-tuning machine-learning ppo-algorithm python rl scalable tensorflow training
Last synced: 13 days ago
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Developed an AWS DeepRacer model using Python & the PPO algorithm, leveraging TensorFlow to train & fine-tune a deep reinforcement learning model. Designed a custom reward function & optimized hyperparameters to improve policy learning & navigation performance. Utilized AWS infrastructure for scalable training & deployment.
- Host: GitHub
- URL: https://github.com/rohit123-wq/aws-deepracer-autonomous-racing-model
- Owner: rohit123-wq
- Created: 2025-04-08T19:08:29.000Z (14 days ago)
- Default Branch: main
- Last Pushed: 2025-04-08T19:08:46.000Z (14 days ago)
- Last Synced: 2025-04-08T20:23:31.439Z (14 days ago)
- Topics: aws, aws-deepracer, aws-infrastructure, deep-learning, deepracer, deployment, hyperparameter-tuning, machine-learning, ppo-algorithm, python, rl, scalable, tensorflow, training
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# AWS DeepRacer Autonomous Racing Model 🏎️💨
Welcome to the **AWS DeepRacer Autonomous Racing Model** repository! This project provides an implementation of an autonomous racing model designed to optimize performance on the AWS DeepRacer track using reinforcement learning.
## 🌟 Features
- **Reinforcement Learning**: Utilizes state-of-the-art reinforcement learning algorithms to train the model for optimal racing strategies. 📈
- **Custom Reward Functions**: Easily define and implement custom reward functions to enhance model behavior for specific racing scenarios. 🎯
- **Training on AWS**: Leverage the power of AWS services for scalable training and evaluation of your racing models. ☁️
- **Simulation and Evaluation**: Test your model in a simulated environment before deploying it on the physical DeepRacer car. 🏁
## 🤝 Contributing
We welcome contributions to enhance the AWS DeepRacer Autonomous Racing Model! If you have ideas, bug fixes, or new features:
Fork the repository.
Make your changes and add your contributions.
Submit a pull request for review. Let’s accelerate our models together! 🎉
## ⚠️ Disclaimer
This project is intended for educational purposes. Ensure compliance with AWS usage policies and guidelines when utilizing AWS resources.
## 📜 License
This project is licensed under the MIT License. See the LICENSE file for more details.
## ❓ Support
If you have any questions or issues, feel free to open an issue in the repository. We’re here to help! 😊
Happy Racing! 🏎️💨