https://github.com/rishikesh-jadhav/reinforcement-learning-for-autonomous-navigation-using-deep-q-network-and-twin-delayed-ddpg
This repository hosts the implementation of autonomous vehicle navigation using RL techniques, with a specific emphasis on Deep Q-Networks (DQN) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. We focus on training a TurtleBot3 robot to navigate autonomously through environments while intelligently avoiding moving obstacles.
https://github.com/rishikesh-jadhav/reinforcement-learning-for-autonomous-navigation-using-deep-q-network-and-twin-delayed-ddpg
autonomous-driving deep-q-networks docker gazebo navigation python pytorch reinforcement-learning ros2-foxy twin-delayed-deep-deterministic-policy-gradient
Last synced: about 1 month ago
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This repository hosts the implementation of autonomous vehicle navigation using RL techniques, with a specific emphasis on Deep Q-Networks (DQN) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. We focus on training a TurtleBot3 robot to navigate autonomously through environments while intelligently avoiding moving obstacles.
- Host: GitHub
- URL: https://github.com/rishikesh-jadhav/reinforcement-learning-for-autonomous-navigation-using-deep-q-network-and-twin-delayed-ddpg
- Owner: Rishikesh-Jadhav
- Created: 2024-05-05T16:15:28.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-28T16:34:06.000Z (12 months ago)
- Last Synced: 2025-03-28T23:43:55.711Z (about 2 months ago)
- Topics: autonomous-driving, deep-q-networks, docker, gazebo, navigation, python, pytorch, reinforcement-learning, ros2-foxy, twin-delayed-deep-deterministic-policy-gradient
- Homepage:
- Size: 465 MB
- Stars: 28
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md