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Learning World Models for Unconstrained Goal Navigation

Computer Science

Learning World Models for Unconstrained Goal Navigation

Y. Duan, W. Mao, et al.

Discover MUN, a goal-directed exploration algorithm that enables world models to predict transitions between arbitrary subgoal states from replay buffers, boosting exploration efficiency and policy generalization under sparse rewards. Research conducted by Yuanlin Duan, Wensen Mao, and He Zhu.... show more
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Reference Count
60

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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