A survey of world models for physical AI with uncertainty representation and control
A technical survey finds that reliable physical AI depends on co-designing learned world models, uncertainty representation, prediction horizons and closed-loop ...
A technical survey finds that reliable physical AI depends on co-designing learned world models, uncertainty representation, prediction horizons and closed-loop ...
A new model-free hierarchical reinforcement learning scheme keeps a DC motor's hidden internal states safely constrained while achieving precise output ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine