Advancing Autonomous Surface Vehicles with Multi-Fidelity Reinforcement Learning Techniques
Recent research published in the Journal of Field Robotics explores the application of multi-fidelity reinforcement learning to enhance the performance of autonomous surface vehicles. This innovative approach aims to bridge the gap between simulation and real-world environments, enabling more effect...