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 ...
Tag: model-based reinforcement learning
A unified objective for dynamics model and policy learning in model-based reinforcement learning
Recently, model-based reinforcement learning has been considered a crucial approach to applying reinforcement learning in the physical world, primarily due ...
