GitHub / bjpedraza / Robust-Uncertainty-Estimation-Framework-in-Deep-Reinforcement-Learning-for-Active-SLAM

This repository contains work on deep reinforcement learning for a TurtleBot robot using a custom-built architecture called Bayesian A2C. The project used the Gazebo simulator and an open-source OpenAI gym extension named gym-gazebo. It was constructed using the Linux OS, TensorFlow, and the Robot Operating System (ROS).

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