Nir Lipovetzky

Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence

Sigfredo Fuentes, Claudia Gonzalez Viejo, Eden Tongson, Nir Lipovetzky, Frank R Dunshea

Journal article  |  2021  |  SENSORS

New and emerging technologies, especially those based on non-invasive video and thermal infrared cameras, can be readily tested on..

Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning

Nir Lipovetzky

Conference Proceedings  |  2021  |  Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Width-based algorithms search for solutions through a general definition of state novelty. These algorithms have been shown to res..

Behaviour Recognition with Kinodynamic Planning Over Continuous Domains.

Grady Fitzpatrick, Nir Lipovetzky, Michael Papasimeon, Miquel Ramirez, Mor Vered

Journal article  |  2021  |  Front Artif Intell

We investigate the application of state-of-the-art goal recognition techniques for behaviour recognition over complex continuous d..

Assessment of Smoke Contamination in Grapevine Berries and Taint in Wines Due to Bushfires Using a Low-Cost E-Nose and an Artificial Intelligence Approach

Sigfredo Fuentes, Vasiliki Summerson, Claudia Gonzalez Viejo, Eden Tongson, Nir Lipovetzky, Kerry L Wilkinson, Colleen Szeto, Ranjith R Unnithan

Journal article  |  2020  |  Sensors

Bushfires are increasing in number and intensity due to climate change. A newly developed low-cost electronic nose (e-nose) was te..

Goal Recognition Using Off-The-Shelf Process Mining Techniques

Artem Polyvyanyy, Zihang Su, Nir Lipovetzky, Sebastian Sardina

Conference Proceedings  |  2020  |  AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems

The problem of probabilistic goal recognition consists of automatically inferring a probability distribution over a range of possi..

KEPS book: Planning.domains

C Muise, N Lipovetzky

Book Chapter  |  2020

In this chapter we describe the main pillars of the Planning.Domains initiative (API, Solver, Editor, and Education), detail some ..

Boundary extension features for width-based planning with simulators on continuous-state domains

F Teichteil-Königsbuch, M Ramirez, N Lipovetzky

Conference Proceedings  |  2020  |  IJCAI International Joint Conference on Artificial Intelligence

Width-based planning algorithms have been shown to be competitive with state-of-the-art heuristic search and SAT-based approaches,..

Pacman Capture the Flag in AI Courses

Nir Lipovetzky, Sebastian Sardina

Journal article  |  2019  |  IEEE TRANSACTIONS ON GAMES

In this letter, we report on the use of the UC-Berkeley Pacman Capture the Flag competition as a major assessment component in two..

An Introduction to the Planning Domain Definition Language

P Haslum, N Lipovetzky, D Magazzeni, C Muise

Book  |  2019  |  Synthesis Lectures on Artificial Intelligence and Machine Learning

Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasonin..

Novelty Messages Filtering for Multi Agent Privacy-preserving Planning

Alfonso E Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina

Conference Proceedings  |  2019  |  Proceedings of the Twelfth International Symposium on Combinatorial Search, SOCS 2019

In multi-agent planning, agents jointly compute a plan that achieves mutual goals, keeping certain information private to the indi..