1 citations · 3 across the 4 of their papers we have counts for
Showing cs.AIShow all
3 papers · 1 filter
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…
cs.AI2012★ 1 cited
Relational Reinforcement Learning in Infinite Mario
Shiwali Mohan, John E. Laird
Relational representations in reinforcement learning allow for the use of structural information like the presence of objects and relationships between them in the description of v…