Kristofer Pister

Control of Microrobots with Data and Computationally Efficient Reinforcement Learning

The ideal method for generating a robot controller would be extremely data efficient, free of requirements on domain knowledge, and safe to run. Model-based reinforcement learning (MBRL) has been established as a compelling approach to synthesize controllers even for systems without analytic dynamics models and with high...