Publications

Chao Lei, Nir Lipovetzky, Krista A Ehinger (2024). Generalized Planning for the Abstraction and Reasoning Corpus. Thirty-Eighth AAAI Conference on Artificial Intelligence.

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Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardiña, Ying Tan, Nick van Beest (2023). Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. 2023 5th International Conference on Process Mining (ICPM).

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Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest (2023). Fast and accurate data-driven goal recognition using process mining techniques. Artificial Intelligence.

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Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky (2023). Diverse, Top-k, and Top-Quality Planning Over Simulators. Proceedings of the 26th European Conference on Artificial Intelligence (ECAI).

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Chenyuan Zhang, Charles Kemp, Nir Lipovetzky (2023). Comparing AI Planning Algorithms with Humans on the Tower of London Task. Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci).

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Chao Lei, Nir Lipovetzky, Ehinger Krista (2023). Novelty and Lifted Helpful Actions in Generalized Planning. Proceedings of the International Symposium on Combinatorial Search, SoCS.

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Guang Hu, Tim Miller, Nir Lipovetzky (2023). Planning with Multi-agent Belief Using Justified Perspectives. Proceedings of the International Conference on Automated Planning and Scheduling.

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Chenyuan Zhang, Nir Lipovetzky, Charles Kemp (2023). Goal Recognition with Timing Information. Proceedings of the International Conference on Automated Planning and Scheduling.

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Yi Ding, Cam Cunningham, Christian Muise, Nir Lipovetzky (2023). Planning as a Service. ICAPS sysdemo.

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Chao Lei, Nir Lipovetzky, Krista A. Ehinger (2023). IPC Learning Track: Novelty-Based Generalized Planning. Proceedings International Planning Competition (IPC-10).

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Anubhav Singh, Nir Lipovetzky, Miquel Ramirez, Javier Segovia-Aguas, Guillem Frances (2023). Grounding Schematic Representation with GRINGO for Width-based Search. Proceedings International Planning Competition (IPC-10).

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Anubhav Singh, Chao Lei, Nir Lipovetzky, Miquel Ramirez, Javier Segovia-Aguas (2023). Forward Backward Novelty Search. Proceedings International Planning Competition (IPC-10).

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Anubhav Singh, Nir Lipovetzky, Miquel Ramirez, Javier Segovia-Aguas (2023). Approximate Novelty Search - IPC-10. Proceedings International Planning Competition (IPC-10).

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Elena M. Vella, Airlie Chapman, Nir Lipovetzky (2023). Learning User Preferences for Complex Cobotic Tasks: Meta-Behaviors and Human Groups. IEEE Robotics and Automation Letters.

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Alfonso E Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina (2023). Width-Based Search for Multi Agent Privacy-Preserving Planning. Artificial Intelligence.

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Stefan O’Toole (2022). The Intersection of Planning and Learning through Cost-to-go Approximations, Imitation and Symbolic Regression. The Univesity of Melbourne.

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Stefan O’Toole, Miquel Ramirez, Nir Lipovetzky, Adrian R Pearce (2022). Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning. Proceedings of the International Symposium on Combinatorial Search.

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Guang Hu, Tim Miller, Nir Lipovetzky (2022). Planning with Perspectives--Decomposing Epistemic Planning using Functional STRIPS. Journal of Artificial Intelligence Research.

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Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina (2022). On the use of Width-based search for Multi Agent Privacy-preserving Planning. Proceedings of 15th International Symposium on Combinatorial Search, SoCS.

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Hai Ho Dac, Claudia Gonzalez Viejo, Nir Lipovetzky, Eden Tongson, Frank R Dunshea, Sigfredo Fuentes (2022). Livestock Identification Using Deep Learning for Traceability. Sensors.

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Sigfredo Fuentes, Ranjith R Unnithan, Eden Tongson, Nir Lipovetzky (2022). Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems. MDPI, Basel.

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Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardina, Nick van Beest (2022). GRACE: A Simulator for Continuous Goal Recognition over Changing Environments. Proceedings of the Workshop on Process Management in the AI Era.

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Sigfredo Fuentes, Claudia Gonzalez Viejo, Eden Tongson, Frank R Dunshea, Hai Ho Dac, Nir Lipovetzky (2022). 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. Journal of Agriculture and Food Research.

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Stefan O’Toole, Nir Lipovetzky, Miquel Ramirez, Adrian Pearce (2021). Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark. Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS).

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Zhihao Pei (2021). Reinforcement Learning For Robust Decision-Making Under Deep Uncertainty - Masters Thesis. The Univesity of Melbourne.

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Jiayuan Chang (2021). Planning Automation on Farmbot: The Classical Planning Approach - Masters Thesis. The Univesity of Melbourne.

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Marco Marasco (2021). Exploratory Modelling and Reinforcement Learning of Merit-Order Electricity Markets - Masters Thesis. The Univesity of Melbourne.

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Sigfredo Fuentes, Claudia Gonzalez Viejo, Eden Tongson, Nir Lipovetzky, Frank R Dunshea (2021). Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence. Sensors.

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Grady Fitzpatrick, Nir Lipovetzky, Michael Papasimeon, Miquel Ramirez, Mor Vered (2021). Behaviour Recognition with Kinodynamic Planning Over Continuous Domains. Frontiers in Artificial Intelligence.

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Chao Lei, Nir Lipovetzky (2021). Width-Based Backward Search. Proceedings of the International Conference on Automated Planning and Scheduling.

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Anubhav Singh, Nir Lipovetzky, Miquel Ramirez, Javier Segovia-Aguas (2021). Approximate Novelty Search. Proceedings of the International Conference on Automated Planning and Scheduling.

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Nir Lipovetzky (2021). Planning for Novelty: Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning. International Joint Conference on Artificial Intelligence (IJCAI), Early Career Track.

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Chao Lei (2020). Width-Based Backward Search - Master Thesis. The Univesity of Melbourne.

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Guang Hu (2020). What you get is what you see: Decomposing Epistemic Planning using Functional STRIPS - Masters Thesis. The Univesity of Melbourne.

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Yajing Ma (2020). Pest Detection in Wheat by Integrating a Low-cost Electronic nose and Machine Learning Modelling - Masters Thesis. The Univesity of Melbourne.

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Dmitry Grebenyuk (2020). Learning to Generalise through Features - Masters Thesis. The Univesity of Melbourne.

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Sigfredo Fuentes, Vasiliki Summerson, Claudia Gonzalez Viejo, Eden Tongson, Nir Lipovetzky, Kerry L Wilkinson, Colleen Szeto, Ranjith R Unnithan (2020). 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. Sensors.

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Florent Teichteil-Königsbuch, Miquel Ramirez, Nir Lipovetzky (2020). Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains. International Joint Conference on Artificial Intelligence (IJCAI).

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Artem Polyvyanyy, Zihang Su, Nir Lipovetzky, Sebastian Sardina (2020). Goal Recognition Using Off-The-Shelf Process Mining Techniques. International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

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Christian Muise, Nir Lipovetzky (2020). KEPS Book: Planning. Domains. Knowledge Engineering Tools and Techniques for AI Planning.

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Stefan O’Toole, Miquel Ramirez, Nir Lipovetzky, Adrian Pearce (2019). Width-Based Lookaheads Augmented with Base Policies for Stochastic Shortest Paths. HSDIP 2019.

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Guang Hu, Tim Miller, Nir Lipovetzky (2019). What you get is what you see: Decomposing Epistemic Planning using Functional STRIPS. arXiv preprint arXiv:1903.11777.

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Mohammed Sharukh Syed, Haoyuan Tang, Yue Wu, Ye Yan, Gil Tidhar, Nir Lipovetzky (2019). Planimation. ICAPS Systems Demonstrations.

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Alfonso E Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina (2019). Novelty Messages Filtering for Multi Agent Privacy-preserving Planning. Symposium on Combinatorial Search (SoCS).

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Alfonso E Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina (2019). Best-First Width Search for Multi Agent Privacy-preserving Planning. International Conference on Automated Planning and Scheduling (ICAPS).

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Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, Christian Muise (2019). An introduction to the planning domain definition language. Synthesis Lectures on Artificial Intelligence and Machine Learning.

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Nir Lipovetzky, Sebastian Sardina (2018). Pacman Capture the Flag in AI Courses. IEEE Transactions on Games.

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Michael Katz, Nir Lipovetzky, Dany Moshkovich, Alexander Tuisov (2018). MERWIN Planner: Mercury Enchanced With Novelty Heuristic.

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Gabriele Bazzotti, Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina (2018). Iterative width search for multi agent privacy-preserving planning. International Conference of the Italian Association for Artificial Intelligence.

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Miquel Ramirez, Michael Papasimeon, Nir Lipovetzky, Lyndon Benke, Tim Miller, Adrian R Pearce, Enrico Scala, Mohammad Zamani (2018). Integrated Hybrid Planning and Programmed Control for Real--Time UAV Maneuvering. International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

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Guillem Frances, Hector Geffner, Nir Lipovetzky, Miquel Ramırez (2018). Best-First Width Search in the IPC 2018: Complete, Simulated, and Polynomial Variants.

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Aleck M MacNally, Nir Lipovetzky, Miquel Ramirez, Adrian R Pearce (2018). Action Selection for Transparent Planning. International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

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Toby Davies (2017). Learning from Conflict in Multi-Agent, Classical, and Temporal Planning. The Univesity of Melbourne.

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Miquel Ramirez, Michael Papasimeon, Lyndon Benke, Nir Lipovetzky, Tim Miller, Adrian R Pearce (2017). Real--Time UAV Maneuvering via Automated Planning in Simulations. International Joint Conference on Artificial Intelligence (IJCAI).

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Guillem Frances, Miquel Ramırez, Nir Lipovetzky, Hector Geffner (2017). Purely Declarative Action Representations are Overrated: Classical Planning with Simulators. International Joint Conference on Artificial Intelligence (IJCAI).

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Aleck MacNally, Nir Lipovetzky, Adrian Pearce, Miquel Ramirez (2017). Planning for Transparency. School of Compu ng and Informa on Systems 5th Annual Doctoral Colloquium 19 July 2017.

Lukáš Chrpa, Nir Lipovetzky, Sebastian Sardina (2017). Handling Non-local Dead-ends in Agent Planning Programs. International Joint Conference on Artificial Intelligence (IJCAI).

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Nir Lipovetzky, Hector Geffner (2017). Best-first width search: Exploration and exploitation in classical planning. Thirty-First AAAI Conference on Artificial Intelligence.

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Michael Katz, Nir Lipovetzky, Dany Moshkovich, Alexander Tuisov (2017). Adapting novelty to classical planning as heuristic search. Twenty-Seventh International Conference on Automated Planning and Scheduling.

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Nir Lipovetzky, Hector Geffner (2017). A Polynomial Planning Algorithm that Beats LAMA and FF. International Conference on Automated Planning and Scheduling (ICAPS).

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Nir Lipovetzky, Christian Muise, Hector Geffner (2016). Traps, invariants, and dead-ends. Twenty-Sixth International Conference on Automated Planning and Scheduling.

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Christian Muise, Nir Lipovetzky (2015). Unplannability IPC Track. The International Planning Competition (WIPC-15).

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Toby Davies, Adrian R Pearce, Peter Stuckey, Nir Lipovetzky (2015). Sequencing Operator Counts. International Conference on Automated Planning and Scheduling (ICAPS).

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Christina N Burt, Nir Lipovetzky, Adrian R Pearce, Peter J Stuckey (2015). Scheduling with Fixed Maintenance, Shared Resources and Nonlinear Feedrate Constraints: a Mine Planning Case Study.

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Michelle L Blom, Christina N Burt, Nir Lipovetzky, Peter J Stuckey, Adrian R Pearce (2015). Scheduling Tools for Open-Pit Mining Operations. ICAPS sysdemo.

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Christian Muise, Nir Lipovetzky, Miquel Ramirez (2015). MAP-LAPKT: Omnipotent Multi-Agent Planning via Compilation to Classical Planning. Proceedings of the Competition of Distributed and Multiagent Planners (CoDMAP).

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Miquel Ramirez, Nir Lipovetzky, Christian Muise (2015). Lightweight automated planning toolkit. URL http://lapkt.org.

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Nir Lipovetzky, Miquel Ramirez, Hector Geffner (2015). Classical Planning with Simulators: Results on the Atari Video Games. International Joint Conference on Artificial Intelligence (IJCAI).

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Christina N Burt, Nir Lipovetzky, Adrian R Pearce, Peter J Stuckey (2015). Approximate Uni-directional Benders Decomposition. Proceedings of PlanSOpt-15 Workshop on Planning, Search and Optimization AAAI-15 (2015).

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Nir Lipovetzky, Miquel Ramirez, Christian Muise, Hector Geffner (2014). Width and inference based planners: Siw, bfs (f), and probe. Proceedings of the 8th International Planning Competition (IPC-2014).

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Nir Lipovetzky (2014). Structure and inference in classical planning. AI Access.

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Nir Lipovetzky, Christina N Burt, Adrian R Pearce, Peter J Stuckey (2014). Planning for mining operations with time and resource constraints. Twenty-Fourth International Conference on Automated Planning and Scheduling.

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Andrea L Balbo, Xavier Rubio-Campillo, Bernardo Rondelli, Miguel Ramı́rez, Carla Lancelotti, Alexis Torrano, Mattieu Salpeteur, Nir Lipovetzky, Victoria Reyes-Garcia, Cristina Montaola, others (2014). Agent-based simulation of Holocene monsoon precipitation patterns and hunter-gatherer population dynamics in semi-arid environments. Journal of Archaeological Method and Theory.

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Fabio Patrizi, Nir Lipovetzky, Hector Geffner (2013). Fair LTL Synthesis for Non-Deterministic Systems using Strong Cyclic Planners.

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Nir Lipovetzky, Héctor Geffner (2012). Width and serialization of classical planning problems. Proceedings of the 20th European Conference on Artificial Intelligence (ECAI).

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Nir Lipovetzky, Hector Geffner (2011). Searching with probes: The classical planner probe. The 2011 International Planning Competition.

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Fabio Patrizi, Nir Lipoveztky, Giuseppe De Giacomo, Hector Geffner (2011). Computing Infinite Plans for LTL Goals Using a Classical Planner. Twenty-Second International Joint Conference on Artificial Intelligence.

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Nir Lipovetzky, Héctor Geffner (2009). Path-based heuristic (preliminary version). ICAPS 2009 Workshop on Heuristics for Domain-Independent Planning, 2009a.

Nir Lipovetzky, Héctor Geffner (2009). Inference and decomposition in planning using causal consistent chains. Nineteenth International Conference on Automated Planning and Scheduling.

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Nir Lipovetzky, Miquel Ramırez, Hector Geffner (2008). Structural Inference in Planning: Scaling up without Heuristic Estimators. Submitted.

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Nir Lipovetzky, Miquel Ramirez, Héctor Geffner (2008). C3: Planning with consistent causal chains. Proceedings International Planning Competition (IPC-6).