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cs.AI2026
Causal Explanations for Image Classifiers
Hana Chockler, David A. Kelly, Daniel Kroening +1
Existing algorithms for explaining the output of image classifiers use different definitions of explanations and a variety of techniques to find them. However, none of the existing…
cs.AI2026
AGWM: Affordance-Grounded World Models for Environments with Compositional Prerequisites
Qinshi Zhang, Weipeng Deng, Zhihan Jiang +4
In model-based learning, the agent learns behaviors by simulating trajectories based on world model predictions. Standard world models typically learn a stationary transition funct…