Author

Emily Bunnapradist

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#artificial intelligence Preprint Sep 2026

EMPIRIC: Experiment-Driven Learning of Residual World Models for Robot Planning

EMPIRIC, an agent that learns a residual world model: a physics engine extended with code for the missing mechanisms, that learns interpretable, reusable models, and solves more tasks with fewer environment interactions than all three baselines.

Yi-Chao Liang, Amber Li, Dat Nguyen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

A Computationally Feasible Framework for Causal Probabilistic Explanation

Probabilistic Causal Impact (PCI) builds on actual causality and on Pearl's notions of probability of necessity and sufficiency, but recasts the question of explainability as an estimation problem on a probabilistic causal model that is easily approximated via Monte Carlo.

R. Urbaniak, Sam Witty, Daniel Waxman et al. · 1 citation