Learning Diverse Skills for Local Navigation under Multi-constraint Optimality

We take a constrained optimization viewpoint on the quality-diversity trade-off and obtain diverse policies by imposing constraints on value functions defined through distinct rewards, with a Van der Waals attract-repel term controlling the diversity level. The learned skills transfer to the real 12-DoF quadruped Solo12 and exhibit diverse agile obstacle-traversal behaviors.