Alex Lamb

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 …

Deep Learning for Classical Japanese Literature

2018 · arXiv (Cornell University)

Much of machine learning research focuses on producing models which perform well on benchmark tasks, in turn improving our understanding of the challenges associated with those tasks. From the perspective of ML researchers, the content …