action-conditioned world modeling 1autoML hyperparameter search 1autonomous data collection 1corrective memory 1efficient inference 1human-robot interaction 1large language model correction 1manipulation policy learning 1robot control 1transformer experts 1world action models 1
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cs.CV2026
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
GigaBrain Team, Boyuan Wang, Bohan Li +23
Vision-language-action (VLA) models that directly predict multi-step action chunks from current observations face inherent limitations due to constrained scene understanding and we…
cs.CV2025
GigaWorld-0: World Models as Data Engine to Empower Embodied AI
GigaWorld Team, Angen Ye, Boyuan Wang +22
World models are emerging as a foundational paradigm for scalable, data-efficient embodied AI. In this work, we present GigaWorld-0, a unified world model framework designed explic…