ملف الباحث
Rajan Chari
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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PcLast: Discovering Plannable Continuous Latent States
2023 · arXiv (Cornell University)
Goal-conditioned planning benefits from learned low-dimensional representations of rich observations. While compact latent representations typically learned from variational autoencoders or inverse dynamics enable goal-conditioned decision making, they ignore state reachability, hampering their performance. In this …