Fast Tracks to Diverse Behaviors: VQ-BeT Achieves 5x Speed Surge Compared to Diffusion Policies

In a new paper Behavior Generation with Latent Actions, a research team introduces the Vector-Quantized Behavior Transformer (VQ-BeT), an innovative model offers a solution for behavior generation, addressing multimodal action prediction, conditional generation, and partial observations.

ai artificial intelligence behavior behavior generation deep-neural-networks diffusion diverse machine learning machine learning & data science ml multimodal paper prediction research research team robotic solution speed team technology transformer vector