most citedReal-World Planning with PDDL+ and Beyond

1 citations · 3 across the 3 of their papers we have counts for

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cs.AI20241 cited

Real-World Planning with PDDL+ and Beyond

Wiktor Piotrowski, Alexandre Perez

Real-world applications of AI Planning often require a highly expressive modeling language to accurately capture important intricacies of target systems. Hybrid systems are ubiquit…

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

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.AI20231 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.AI20231 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…