Perturbation-Resilient Autonomous Navigation with Distributionally Robust Reinforcement Learning
Zhaofan Zhang, Minghao Yang, Sihong Xie et al.
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Preprint
Jul 2026
Branch-JEPA: Finite-Support Predictive Distributions for JEPA World Models
Branch-JEPA is introduced, which replaces this point-valued transition with a context-weighted finite set of latent successors, and preserves more distinct futures, while full-set scoring improves the quality of the resulting predictive distribution.
Zhi Song, Ximing Xing, Zhenchao Tang et al.
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