13 citations · 49 across the 33 of their papers we have counts for
9 papers · 1 filter
Break Out the Silverware -- Semantic Understanding of Stored Household Items
Michaela Levi-Richter, Reuth Mirsky, Oren Glickman
``Bring me a plate.'' For domestic service robots, this simple command reveals a complex challenge: inferring where everyday items are stored, often out of sight in drawers, cabine…
Online Dynamic Goal Recognition in Gym Environments
Shamir Matan, Elhadad Osher, Nageris Ben +1
Goal Recognition (GR) is the task of inferring an agent's intended goal from partial observations of its behavior, typically in an online and one-shot setting. Despite recent advan…
Artificial Intelligent Disobedience: Rethinking the Agency of Our Artificial Teammates
Reuth Mirsky
Artificial intelligence has made remarkable strides in recent years, achieving superhuman performance across a wide range of tasks. Yet despite these advances, most cooperative AI…
GRAML: Goal Recognition As Metric Learning
Matan Shamir, Reuth Mirsky
Goal Recognition (GR) is the problem of recognizing an agent's objectives based on observed actions. Recent data-driven approaches for GR alleviate the need for costly, manually cr…
Gap the (Theory of) Mind: Sharing Beliefs About Teammates' Goals Boosts Collaboration Perception, Not Performance
Yotam Amitai, Reuth Mirsky, Ofra Amir
In human-agent teams, openly sharing goals is often assumed to enhance planning, collaboration, and effectiveness. However, direct communication of these goals is not always feasib…
General Dynamic Goal Recognition using Goal-Conditioned and Meta Reinforcement Learning
Osher Elhadad, Owen Morrissey, Reuth Mirsky
Understanding an agent's goal through its behavior is a common AI problem called Goal Recognition (GR). This task becomes particularly challenging in dynamic environments where goa…
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…
Birds of a Different Feather Flock Together: Exploring Opportunities and Challenges in Animal-Human-Machine Teaming
Myke C. Cohen, David A. Grimm, Reuth Mirsky +1
Animal-Human-Machine (AHM) teams are a type of hybrid intelligence system wherein interactions between a human, AI-enabled machine, and animal members can result in unique capabili…
All You Need is Sally-Anne: ToM in AI Strongly Supported After Surpassing Tests for 3-Year-Olds
Nitay Alon, Joseph Barnby, Reuth Mirsky +1
Theory of Mind (ToM) is a hallmark of human cognition, allowing individuals to reason about others' beliefs and intentions. Engineers behind recent advances in Artificial Intellige…