Hojun Yi

TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design

Generalizing deep reinforcement learning agents to unseen environments remains a significant challenge. One promising solution is Unsupervised Environment Design (UED), a co‑evolutionary framework in which a teacher adaptively generates tasks with high learning potential, while a student learns a ro…