Miro Dudík

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 …