Learning World Models for Unconstrained Goal Navigation

Yuanlin Duan, Wensen Mao, He Zhu

Learning world models offers a promising avenue for goal-conditioned reinforcement learning with sparse rewards. By allowing agents to plan actions or exploratory goals without dir…