4 papers
Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks
Gandharv Patil, Keyi Tang, Raquel Aoki +1
Individual treatment effects are not point-identified from data. The Probability of Necessity and Sufficiency (PNS) circumvents this limitation by characterizing individual-level c…
Jump Start or False Start? A Theoretical and Empirical Evaluation of LLM-initialized Bandits
Adam Bayley, Xiaodan Zhu, Raquel Aoki +2
The recent advancement of Large Language Models (LLMs) offers new opportunities to generate user preference data to warm-start bandits. Recent studies on contextual bandits with LL…
No : Model-Agnostic Counterfactual Explanations Using Reinforcement Learning
Xiangyu Sun, Raquel Aoki, Kevin H. Wilson
Machine learning (ML) methods have experienced significant growth in the past decade, yet their practical application in high-impact real-world domains has been hindered by their o…
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
Sadegh Mahdavi, Raquel Aoki, Keyi Tang +1
Large Language Models (LLMs) have shown remarkable performance in various natural language tasks, but they often struggle with planning problems that require structured reasoning.…