/RoboND-DeepRL-Project

This project is based on the Nvidia open source project "jetson-reinforcement" developed by Dustin Franklin. The goal of the project is to create a DQN agent and define reward functions to teach a robotic arm to carry out two primary objectives: Have any part of the robot arm touch the object of interest, with at least a 90% accuracy. Have only the gripper base of the robot arm touch the object, with at least a 80% accuracy.

Primary LanguageC++MIT LicenseMIT

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