Search Results for author:
Found 2 papers, 2 papers with code
Learning to Fly in Seconds
Our framework enables Simulation-to-Reality (Sim2Real) transfer for direct RPM control after only 18 seconds of training on a consumer-grade laptop as well as its deployment on microcontrollers to control a multirotor under real-time guarantees.
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
Finally, RLtools enables the first-ever demonstration of training a deep RL algorithm directly on a microcontroller, giving rise to the field of Tiny Reinforcement Learning (TinyRL).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
