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20112026
most citedPHA*: Finding the Shortest Path with A* in An Unknown Physical Environment

26 citations · 43 across the 25 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023

Learning Safe Numeric Planning Action Models

Argaman Mordoch, Shahaf S. Shperberg, Roni Stern +1

A significant challenge in applying planning technology to real-world problems lies in obtaining a planning model that accurately represents the problem's dynamics. Obtaining a pla…

cs.AI2023

Novelty Accommodating Multi-Agent Planning in High Fidelity Simulated Open World

James Chao, Wiktor Piotrowski, Roni Stern +4

Autonomous agents operating within real-world environments often rely on automated planners to ascertain optimal actions towards desired goals or the optimization of a specified ob…

cs.AI2023★ 5 cited

A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds

Shiwali Mohan, Wiktor Piotrowski, Roni Stern +4

Model-based reasoning agents are ill-equipped to act in novel situations in which their model of the environment no longer sufficiently represents the world. We propose HYDRA - a f…

cs.AI2023★ 1 cited

Heuristic Search For Physics-Based Problems: Angry Birds in PDDL+

Wiktor Piotrowski, Yoni Sher, Sachin Grover +2

This paper studies how a domain-independent planner and combinatorial search can be employed to play Angry Birds, a well established AI challenge problem. To model the game, we use…

cs.AI2023★ 1 cited

Learning to Operate in Open Worlds by Adapting Planning Models

Wiktor Piotrowski, Roni Stern, Yoni Sher +4

Planning agents are ill-equipped to act in novel situations in which their domain model no longer accurately represents the world. We introduce an approach for such agents operatin…