https://github.com/yusufu790/aws-deepracer-autonomous-racing-model
el 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/yusufu790/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: 3 months ago
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el 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/yusufu790/aws-deepracer-autonomous-racing-model
- Owner: yusufu790
- License: mit
- Created: 2025-03-26T11:22:10.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-03-26T11:24:19.000Z (3 months ago)
- Last Synced: 2025-03-26T12:28:48.197Z (3 months ago)
- Topics: aws, aws-deepracer, aws-infrastructure, deep-learning, deepracer, deployment, hyperparameter-tuning, machine-learning, ppo-algorithm, python, rl, scalable, tensorflow, training
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE