318 citations · 321 across the 3 of their papers we have counts for
4 papers · 1 filter
Goal Recognition as a Deep Learning Task: the GRNet Approach
Mattia Chiari, Alfonso E. Gerevini, Luca Putelli +2
In automated planning, recognising the goal of an agent from a trace of observations is an important task with many applications. The state-of-the-art approaches to goal recognitio…
Novelty Messages Filtering for Multi Agent Privacy-preserving Planning
Alfonso E. Gerevini, Nir Lipovetzky, Nico Peli +3
In multi-agent planning, agents jointly compute a plan that achieves mutual goals, keeping certain information private to the individual agents. Agents' coordination is achieved th…
Best-First Width Search for Multi Agent Privacy-preserving Planning
Alfonso E. Gerevini, Nir Lipovetzky, Francesco Percassi +2
In multi-agent planning, preserving the agents' privacy has become an increasingly popular research topic. For preserving the agents' privacy, agents jointly compute a plan that ac…
Planning Through Stochastic Local Search and Temporal Action Graphs in LPG
A. Gerevini, A. Saetti, I. Serina
We present some techniques for planning in domains specified with the recent standard language PDDL2.1, supporting 'durative actions' and numerical quantities. These techniques are…