Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning

no code implementations • 11 Jan 2019 • Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Roberto Calandra, Sergey Levine, Kristofer S. J. Pister

Designing effective low-level robot controllers often entail platform-specific implementations that require manual heuristic parameter tuning, significant system knowledge, or long design times.

Model-based Reinforcement Learning reinforcement-learning +1