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Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
ENPM 661 Project 3 Phase 2: A rigid robot traverses through a configuration space to find the goal node using A star search algorithm, while it avoid the obstacles in the map