Luke de Castro

Multi-Fidelity Reinforcement Learning for Minimum Energy Trajectory Planning

Modeling the energy consumption of a quadrotor involves complex electrical and physical dynamics, making it difficult to optimize. To address this challenge, this paper presents a multi-fidelity Gaussian process (MFGP) method that efficiently learns an accurate energy prediction model by combining m…