Nir Lipovetzky

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..

Pacman Capture the Flag in AI Courses

Nir Lipovetzky, Sebastian Sardina

Journal article  |  2019  |  IEEE Transactions on Games

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..

Width-Based Lookaheads Augmented with Base Policies for Stochastic Shortest Paths

Stefan O’Toole, Miquel Ramirez, Nir Lipovetzky, Adrian Pearce

Conference Proceedings  |  2019  |  Proceedings of the 29th International Conference on Automated Planning and Scheduling

Sequential decision problems for real-world applications often need to be solved in real-time, requiring algorithms to perform wel..

Best-First Width Search for Multi Agent Privacy-Preserving Planning

Alfonso Gerevini, Nir Lipovetzky, Francesco Percass, Alessandro Saetti, Ivan Serina

Conference Proceedings  |  2019  |  Proceedings International Conference on Automated Planning and Scheduling, ICAPS

In multi-agent planning, preserving the agents’ privacy has become an increasingly popular research topic. For preserving the agen..

Planimation

Gang Chen, Yi Ding, Hugo Edwards, Chong Hin Chau, Sai Hou, Grace Johnson, Mohammed Sharukh Syed, Haoyuan Tang, Ye Wu, Yu Yan, Gil Tidhar, Nir Lipovetzky

Conference Proceedings  |  2019  |  Proceedings of the 29th International Conference on Automated Planning and Scheduling

Planimation is a modular and extensible open source framework to visualise sequential solutions of planning problems specified in ..

Iterative Width Search for Multi Agent Privacy-Preserving Planning

G Bazzotti, AE Gerevini, N Lipovetzky, F Percassi, A Saetti, I Serina

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Action Selection for Transparent Planning

Aleck M MacNally, Nir Lipovetzky, Miquel Ramirez, Adrian R Pearce

Conference Proceedings  |  2018  |  Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS