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Competitions in AI -- Robustly Ranking Solvers Using Statistical Resampling
To address this problem, we introduce a novel approach to statistically meaningful analysis of competition results based on resampling performance data.
Goal Recognition as a Deep Learning Task: the GRNet Approach
Our approach, called GRNet, is primarily aimed at making goal recognition more accurate as well as faster by learning how to solve it in a given domain.
Novelty Messages Filtering for Multi Agent Privacy-preserving Planning
In multi-agent planning, agents jointly compute a plan that achieves mutual goals, keeping certain information private to the individual agents.
Best-First Width Search for Multi Agent Privacy-preserving Planning
In multi-agent planning, preserving the agents' privacy has become an increasingly popular research topic.
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