activity
20182026
most citedLearning from Suboptimal Demonstration via Self-Supervised Reward Regression

31 citations · 178 across the 53 of their papers we have counts for

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5 papers · 1 filter

cs.AI2025

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind

Mouad Abrini, Omri Abend, Dina Acklin +105

This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…

cs.AI2023★ 6 cited

Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation

Batuhan Altundas, Zheyuan Wang, Joshua Bishop +1

As human-robot collaboration increases in the workforce, it becomes essential for human-robot teams to coordinate efficiently and intuitively. Traditional approaches for human-robo…

cs.AI2022★ 19 cited

The Utility of Explainable AI in Ad Hoc Human-Machine Teaming

Rohan Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige +2

Recent advances in machine learning have led to growing interest in Explainable AI (xAI) to enable humans to gain insight into the decision-making of machine learning models. Despi…

cs.AI2022

A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting

Pradyumna Tambwekar, Lakshita Dodeja, Nathan Vaska +2

Many real-world tasks involve a mixed-initiative setup, wherein humans and AI systems collaboratively perform a task. While significant work has been conducted towards enabling hum…

cs.AI2018

Human-Machine Collaborative Optimization via Apprenticeship Scheduling

Matthew Gombolay, Reed Jensen, Jessica Stigile +4

Coordinating agents to complete a set of tasks with intercoupled temporal and resource constraints is computationally challenging, yet human domain experts can solve these difficul…