Real-World Robot Learning

The demonstration shows that Infoprop Dyna can learn a high-performance racing controller directly from real-world robot interaction. The result suggests direct real-world MBRL may discover strategies that are difficult for conventional sim-to-real pipelines. The experiment used no simulation model during training. Learning-based control on fast, unstable, nonlinear robots is difficult when learning must happen directly on hardware.