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Learning World Models for Unconstrained Goal Navigation
Computer ScienceNeurIPS 2024 (38th Conference on Neural Information Processing Systems)

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
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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