Definition
Curriculum learning presents training tasks in order of increasing difficulty, mimicking how humans learn. In robotic manipulation, a curriculum might start with large, easy-to-grasp objects and progress to small, slippery ones. In locomotion, terrain difficulty can ramp from flat ground to uneven slopes and stairs. Automatic curriculum methods (like PAIRED, PLR, and teacher-student frameworks) dynamically adjust difficulty based on the learner's current competence. Curriculum learning reduces the need for reward shaping and can dramatically improve sample efficiency in both simulation and real-world training.
Why It Matters for Robot Teams
Understanding curriculum learning is essential for teams building real-world robot systems. Whether you are collecting demonstration data, training policies in simulation, or deploying in production, this concept directly affects your workflow and system design.