4 citations · 8 across the 11 of their papers we have counts for
16 papers
Planning as Goal Recognition: Deriving Heuristics from Intention Models -- Extended Version
Giacomo Rosa, Jean Honorio, Nir Lipovetzky +1
Classical planning aims to find a sequence of actions, a plan, that maps a starting state into one of the goal states. If a trajectory appears to be leading to the goal, should we…
Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty
Zhihao Pei, Nir Lipovetzky, Angela M. Rojas-Arevalo +2
Socio-environmental planning under deep uncertainty requires researchers to identify and conceptualize problems before exploring policies and deploying plans. In practice and model…
From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark
Chao Lei, Nir Lipovetzky, Krista A. Ehinger +1
Recent reasoning-oriented LLMs have demonstrated strong performance on challenging tasks such as mathematics and science examinations. However, core cognitive faculties of human in…
State-Based Disassembly Planning
Chao Lei, Nir Lipovetzky, Krista A. Ehinger
It has been shown recently that physics-based simulation significantly enhances the disassembly capabilities of real-world assemblies with diverse 3D shapes and stringent motion co…
Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation
Sukai Huang, Trevor Cohn, Nir Lipovetzky
The capability of Large Language Models (LLMs) to plan remains a topic of debate. Some critics argue that strategies to boost LLMs' reasoning skills are ineffective in planning tas…
Where Common Knowledge Cannot Be Formed, Common Belief Can -- Planning with Multi-Agent Belief Using Group Justified Perspectives
Guang Hu, Tim Miller, Nir Lipovetzky
Epistemic planning is the sub-field of AI planning that focuses on changing knowledge and belief. It is important in both multi-agent domains where agents need to have knowledge/be…