Deep Reinforcement Learning for Autonomous Systems and Robotics

Abstract

This research paper explores the application of deep reinforcement learning (DRL) techniques to enable autonomy in robotic systems. We investigate various aspects of DRL in the context of autonomous systems, including navigation, manipulation, safety, and ethical considerations. Our findings contribute to the development of robust and responsible autonomous robots with real-world applications.