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

Geonwoo Cho, Jaegyun Im, Jihwan Lee +3

Generalizing deep reinforcement learning agents to unseen environments remains a significant challenge. One promising solution is Unsupervised Environment Design (UED), a co-evolut…