2023
Offline Reinforcement Learning for Quadrotor Control: Overcoming the Ground Effect
IROS 2023poster
Applying Reinforcement Learning to solve real-world optimization problems presents significant challenges because of the large amount of data normally required. A popular solution is to train the algorithms in a simulation and transfer the weights to the real system. However, sim-to-real approaches…