Takanori Yoshimoto

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…