Robot Learning

Curriculum Learning

Curriculum learning is a training strategy that presents tasks or data in a progression from easy to hard, formalized by Bengio et al. (2009), so that competence on simpler instances scaffolds learning of harder ones. In robot RL, curricula schedule terrain difficulty, goal distance, randomization ranges, or disturbance magnitudes, with automatic variants adapting difficulty to current performance; the technique was central to learned quadruped locomotion over challenging terrain.

Why it matters for physical AI

Curricula frequently make the difference between success and failure in sim-based skill learning, enabling policies for parkour, rough terrain, and dexterous tasks that direct training on full difficulty never reaches.