activity
20212025
most citedEgocentric Planning for Scalable Embodied Task Achievement

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Make Planning Research Rigorous Again!

Michael Katz, Harsha Kokel, Christian Muise +2

In over sixty years since its inception, the field of planning has made significant contributions to both the theory and practice of building planning software that can solve a nev…

cs.AI2023★ 1 cited

PRP Rebooted: Advancing the State of the Art in FOND Planning

Christian Muise, Sheila A. McIlraith, J. Christopher Beck

Fully Observable Non-Deterministic (FOND) planning is a variant of classical symbolic planning in which actions are nondeterministic, with an action's outcome known only upon execu…

cs.DL2023★ 2 cited

TOBY: A Tool for Exploring Data in Academic Survey Papers

Tathagata Chakraborti, Jungkoo Kang, Christian Muise +4

This paper describes TOBY, a visualization tool that helps a user explore the contents of an academic survey paper. The visualization consists of four components: a hierarchical vi…

cs.AI2023★ 2 cited

Egocentric Planning for Scalable Embodied Task Achievement

Xiaotian Liu, Hector Palacios, Christian Muise

Embodied agents face significant challenges when tasked with performing actions in diverse environments, particularly in generalizing across object types and executing suitable act…

cs.AI2021

Efficient Multi-agent Epistemic Planning: Teaching Planners About Nested Belief

Christian Muise, Vaishak Belle, Paolo Felli +4

Many AI applications involve the interaction of multiple autonomous agents, requiring those agents to reason about their own beliefs, as well as those of other agents. However, pla…