Nir Lipovetzky

Width-based search for multi agent privacy-preserving planning

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

Journal article  |  2023  |  Artificial Intelligence

Animal biometric assessment using non-invasive computer vision and machine learning are good predictors of dairy cows age and welfare: The future of automated veterinary support systems

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

Journal article  |  2022  |  JOURNAL OF AGRICULTURE AND FOOD RESEARCH

Digitally extracted biometrics from visible videos of farm animals could be used to automatically assess animal welfare, contribut..

Livestock Identification Using Deep Learning for Traceability

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

Journal article  |  2022  |  SENSORS

Farm livestock identification and welfare assessment using non-invasive digital technology have gained interest in agriculture in ..

Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning (Extended Abstract)

Stefan O'Toole, Miquel Ramirez, Nir Lipovetzky, Adrian R Pearce

Journal article  |  2022  |  Proceedings of the International Symposium on Combinatorial Search

We introduce a new algorithm, Regression based Supervised Learning (RSL), for learning per instance Neural Network (NN) defined he..

On the Use of Width-Based Search for Multi Agent Privacy-Preserving Planning (Extended Abstract)

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

Journal article  |  2022  |  Proceedings of the International Symposium on Combinatorial Search

The aim of decentralised multi-agent (DMA) planning is to coordinate a set of agents to jointly achieve a goal while preserving th..

GRACE: A Simulator for Continuous Goal Recognition over Changing Environments

Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardina, Nick van Beest

Conference Proceedings  |  2022  |  Proceedings of the Workshop on Process Management in the AI Era 2022

Goal Recognition (GR) is a research problem that studies ways to infer the goal of an intelligent agent based on its observed beha..

Planning with Perspectives - Decomposing Epistemic Planning using Functional STRIPS

Guang Hu, Tim Miller, Nir Lipovetzky

Journal article  |  2022  |  JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

In this paper, we present a novel approach to epistemic planning called planning with perspectives (PWP) that is both more express..

Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark

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

Conference Proceedings  |  2021  |  Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021)

We propose new width-based planning and learning algorithms applied over the Atari-2600 benchmark. The algorithms presented are in..

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..