Chandra Kusuma Dewa

A Framework for DRL Navigation With State Transition Checking and Velocity Increment Scheduling

2020 · IEEE Access

To train a mobile robot to navigate using end-to-end approach which maps sensors data into actions, we can use deep reinforcement learning (DRL) method by providing training environments with proper reward functions. Although some studies …