Get Ready to Be Amazed By BIER-powered DRL Technology!

Explore the innovative realm of deep reinforcement learning (DRL) to enhance the adaptability of unmanned underwater vehicles (UUV). Overcoming the challenges of data inefficiency and unpredictable environmental variations, this study introduces the Biologically-Inspired Experience Replay (BIER) method. BIER utilizes dual memory buffers for a refined learning approach, significantly improving UUV maneuvering through tasks like stabilization and velocity control in complex aquatic environments. Tested in a simulated ROS-based UUV scenario, BIER demonstrates superior performance, optimizing control tasks more efficiently than traditional methods.