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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.
Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees
AI and Machine Learning can offer powerful tools to help in the fight against Covid-19.
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.
Case-Based Merging Techniques in OAKPLAN
Case-based planning can take advantage of former problem-solving experiences by storing in a plan library previously generated plans that can be reused to solve similar planning problems in the future.
