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Deep Reinforcement Learning for mobile robot navigation in ROS2 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.
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README.md

Goal-Driven Deep RL Policy for Robot Navigation

Deep Reinforcement Learning for mobile robot navigation in ROS2 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.

Screenshot from 2023-12-09 11-41-59

sim2

sim1

Academic Integrity

If you are currently enrolled in this course, please refer to IIIT-Delhi's Policy on Academic Integrity before referring to any of the repository contents. This repository contains the work we did as undergrads at IIIT-Delhi in CSE-564 Reinforcement Learning course. We do not encourage plagiarism of any kind.