activity
20172026
most citedGoal Recognition as Reinforcement Learning

13 citations · 49 across the 33 of their papers we have counts for

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Showing 2026 · cs.AIShow all

5 papers · 2 filters

cs.AI2026

Explore, Map, Remember, Decide: Are Embodied VLMs Ready for Safety-Critical Scenarios?

Gabriele La Malfa, Nitay Alon, Emanuele La Malfa +2

Theory of Space framework (ToS) assesses the spatial understanding of curiosity-driven Vision-Language Models (VLMs) under partial observability. As AI techniques are increasingly…

cs.AI2026

The Intelligent Disobedience Game: Formulating Disobedience in Stackelberg Games and Markov Decision Processes

Benedikt Hornig, Reuth Mirsky

In shared autonomy, a critical tension arises when an automated assistant must choose between obeying a human's instruction and deliberately overriding it to prevent harm. This saf…

cs.AI2026

Proceedings of the 2nd Workshop on Advancing Artificial Intelligence through Theory of Mind

Nitay Alon, Joseph M. Barnby, Reuth Mirsky +1

This volume includes a selection of papers presented at the 2nd Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2026 in Singapore on 26th January…

cs.AI2026★ 8 cited

Agents of Chaos

Natalie Shapira, Chris Wendler, Avery Yen +35

We report an exploratory red-teaming study of autonomous language-model-powered agents deployed in a live laboratory environment with persistent memory, email accounts, Discord acc…

cs.AI2026

GRAIL: Goal Recognition Alignment through Imitation Learning

Osher Elhadad, Felipe Meneguzzi, Reuth Mirsky

Understanding an agent's goals from its behavior is fundamental to aligning AI systems with human intentions. Existing goal recognition methods typically rely on an optimal goal-or…