PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning

from Embodied AI 101 · host Shaoqing Tan

Introduces PoLAR, a method that factorizes latent action representations into extent and mode components to improve robot policy learning efficiency and generalization.

Episode metadata supplied by the publisher feed · Published Jun 29, 2026

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PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning

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