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twin-delayed-deep-deterministic-policy-gradient

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Rishikesh-Jadhav / Reinforcement-Learning-for-Autonomous-Navigation-using-Deep-Q-Network-and-Twin-Delayed-DDPG

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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.

python docker reinforcement-learning navigation pytorch gazebo autonomous-driving ros2-foxy deep-q-networks twin-delayed-deep-deterministic-policy-gradient
  • Updated May 28, 2024

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