◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Francesco Percassi

3 papers hereh-index 8168 citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI3

identity via Semantic Scholar / OpenAlex

most citedNovelty Messages Filtering for Multi Agent Privacy-preserving Planning

2 citations · 3 across the 2 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2022★ 1 cited

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…

cs.AI2019★ 2 cited

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…

cs.AI2019

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.