Latent Action Models
PulseAugur coverage of Latent Action Models — every cluster mentioning Latent Action Models across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
FlexLAM introduces variable-length latent actions to improve video-based decision-making
Researchers have introduced FlexLAM, a novel approach to latent action learning that addresses the bottleneck trade-off in existing models. Unlike previous methods that use a fixed-capacity bottleneck, FlexLAM employs v…
-
New MaskLAM Method Enhances Embodied Agent Training
Researchers have developed a new method called MaskLAM to improve the training of embodied agents using latent action models. This technique addresses the issue of action-correlated visual distractors in videos, which c…
-
DiLA model advances self-supervised world models with disentangled learning
Researchers have developed DiLA, a novel Disentangled Latent Action world model designed to improve video generation and action abstraction. DiLA addresses the trade-off between action abstraction and generation fidelit…