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ORCIDNir Lipovetzky
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- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2025
[j11]Zihang Su
, Tianshi Yu, Artem Polyvyanyy, Ying Tan, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest, Alireza Mohammadi, Denny Oetomo:
Process mining over sensor data: Goal recognition for powered transhumeral prostheses. Inf. Syst. 132: 102540 (2025)- [c47]Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
State-Based Disassembly Planning. AAAI 2025: 14602-14609 - [c46]Sukai Huang, Nir Lipovetzky, Trevor Cohn:
Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts. AAAI 2025: 26542-26550 - [i22]Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
State-Based Disassembly Planning. CoRR abs/2501.05156 (2025) - 2024
- [j10]Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest:
Adaptive goal recognition using process mining techniques. Eng. Appl. Artif. Intell. 133: 108189 (2024) - [c45]Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
Generalized Planning for the Abstraction and Reasoning Corpus. AAAI 2024: 20168-20175 - [c44]Todd W. Neller, Pia Bideau, David Bierbach, Wolfgang Hönig, Nir Lipovetzky, Christian Muise, Lino Coria, Claire Wong, Stephanie Rosenthal, Yu Lu, Ming Gao, Jingjing Zhang:
Model AI Assignments 2024. AAAI 2024: 23370-23371 - [c43]Chenyuan Zhang, Charles Kemp, Nir Lipovetzky:
Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability. AAMAS 2024: 2066-2074 - [c42]Giacomo Rosa, Nir Lipovetzky:
Count-Based Novelty Exploration in Classical Planning. ECAI 2024: 4181-4189 - [c41]Qingtan Shen, Artem Polyvyanyy, Nir Lipovetzky, Timotheus Kampik:
Agent System Event Data: Concepts, Dimensions, Applications. ER 2024: 56-72 - [c40]Muhammad Bilal, Nir Lipovetzky, Denny Oetomo, Wafa Johal:
Beyond Success: Quantifying Demonstration Quality in Learning from Demonstration. IROS 2024: 5120-5127 - [i21]Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
Generalized Planning for the Abstraction and Reasoning Corpus. CoRR abs/2401.07426 (2024) - [i20]Chenyuan Zhang, Charles Kemp, Nir Lipovetzky:
Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability. CoRR abs/2402.10510 (2024) - [i19]Giacomo Rosa, Nir Lipovetzky:
Count-based Novelty Exploration in Classical Planning. CoRR abs/2408.13719 (2024) - [i18]Sukai Huang, Nir Lipovetzky, Trevor Cohn:
Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts. CoRR abs/2409.15915 (2024) - [i17]Sukai Huang, Nir Lipovetzky, Trevor Cohn:
Overcoming Reward Model Noise in Instruction-Guided Reinforcement Learning. CoRR abs/2409.15922 (2024) - [i16]Chao Lei, Yanchuan Chang, Nir Lipovetzky, Krista A. Ehinger:
Planning-Driven Programming: A Large Language Model Programming Workflow. CoRR abs/2411.14503 (2024) - [i15]Guang Hu, Tim Miller, Nir Lipovetzky:
Where Common Knowledge Cannot Be Formed, Common Belief Can - Planning with Multi-Agent Belief Using Group Justified Perspectives. CoRR abs/2412.07981 (2024) - [i14]Sukai Huang, Trevor Cohn, Nir Lipovetzky:
Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation. CoRR abs/2412.10675 (2024) - 2023
- [j9]Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Width-based search for multi agent privacy-preserving planning. Artif. Intell. 318: 103883 (2023) - [j8]Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest:
Fast and accurate data-driven goal recognition using process mining techniques. Artif. Intell. 323: 103973 (2023) - [j7]Elena M. Vella, Airlie Chapman, Nir Lipovetzky:
Learning User Preferences for Complex Cobotic Tasks: Meta-Behaviors and Human Groups. IEEE Robotics Autom. Lett. 8(7): 4123-4130 (2023) - [c39]Guang Hu, Tim Miller, Nir Lipovetzky:
Planning with Multi-Agent Belief Using Justified Perspectives. ICAPS 2023: 180-188 - [c38]Chenyuan Zhang, Charles Kemp, Nir Lipovetzky:
Goal Recognition with Timing Information. ICAPS 2023: 443-451 - [c37]Chenyuan Zhang, Nir Lipovetzky, Charles Kemp:
Comparing AI Planning Algorithms with Humans on the Tower of London Task. CogSci 2023 - [c36]Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky:
Diverse, Top-k, and Top-Quality Planning Over Simulators. ECAI 2023: 231-238 - [c35]Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardiña, Ying Tan, Nick van Beest:
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. ICPM 2023: 25-32 - [c34]Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
Novelty and Lifted Helpful Actions in Generalized Planning. SOCS 2023: 148-152 - [i13]Sukai Huang, Nir Lipovetzky, Trevor Cohn:
A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents. CoRR abs/2305.16621 (2023) - [i12]Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
Novelty and Lifted Helpful Actions in Generalized Planning. CoRR abs/2307.00735 (2023) - [i11]Anubhav Singh, Miquel Ramírez, Nir Lipovetzky, Peter J. Stuckey:
Lifted Sequential Planning with Lazy Constraint Generation Solvers. CoRR abs/2307.08242 (2023) - [i10]Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky:
Diverse, Top-k, and Top-Quality Planning Over Simulators. CoRR abs/2308.13147 (2023) - [i9]Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardiña, Ying Tan, Nick van Beest:
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. CoRR abs/2309.08106 (2023) - 2022
- [j6]Guang Hu, Tim Miller, Nir Lipovetzky:
Planning with Perspectives - Decomposing Epistemic Planning using Functional STRIPS. J. Artif. Intell. Res. 75: 489-539 (2022) - [j5]Hai Ho Dac, Claudia Gonzalez Viejo, Nir Lipovetzky, Eden Jane Tongson, Frank R. Dunshea, Sigfredo Fuentes:
Livestock Identification Using Deep Learning for Traceability. Sensors 22(21): 8256 (2022) - [c33]Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest:
GRACE: A Simulator for Continuous Goal Recognition over Changing Environments. PMAI@IJCAI 2022: 37-48 - [c32]Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina:
On the Use of Width-Based Search for Multi Agent Privacy-Preserving Planning (Extended Abstract). SOCS 2022: 276-278 - [c31]Stefan O'Toole, Miquel Ramírez, Nir Lipovetzky, Adrian R. Pearce:
Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning (Extended Abstract). SOCS 2022: 308-310 - [i8]Stefan O'Toole, Miquel Ramírez, Nir Lipovetzky, Adrian R. Pearce:
Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning. CoRR abs/2207.03336 (2022) - 2021
- [j4]Grady Fitzpatrick, Nir Lipovetzky, Michael Papasimeon, Miquel Ramírez, Mor Vered:
Behaviour Recognition with Kinodynamic Planning Over Continuous Domains. Frontiers Artif. Intell. 4: 717003 (2021) - [j3]Sigfredo Fuentes, Claudia Gonzalez Viejo, Eden Jane Tongson, Nir Lipovetzky, Frank R. Dunshea:
Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence. Sensors 21(20): 6844 (2021) - [c30]Chao Lei, Nir Lipovetzky:
Width-Based Backward Search. ICAPS 2021: 219-224 - [c29]Anubhav Singh, Nir Lipovetzky, Miquel Ramírez, Javier Segovia-Aguas:
Approximate Novelty Search. ICAPS 2021: 349-357 - [c28]Nir Lipovetzky:
Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning. IJCAI 2021: 4956-4960 - [c27]Stefan O'Toole, Nir Lipovetzky, Miquel Ramírez, Adrian R. Pearce:
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark. NeurIPS 2021: 26536-26547 - [i7]Anubhav Singh, Nir Lipovetzky, Miquel Ramírez, Javier Segovia-Aguas:
Approximate Novelty Search. CoRR abs/2105.07691 (2021) - [i6]Nir Lipovetzky:
Planning for Novelty: Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning. CoRR abs/2106.04866 (2021) - [i5]Stefan O'Toole, Nir Lipovetzky, Miquel Ramírez, Adrian R. Pearce:
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark. CoRR abs/2106.12151 (2021) - 2020
- [j2]Sigfredo Fuentes, Vasiliki Summerson, Claudia Gonzalez Viejo, Eden Jane Tongson, Nir Lipovetzky, Kerry Wilkinson, Colleen Szeto, Ranjith R. Unnithan:
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 20(18): 5108 (2020) - [c26]Artem Polyvyanyy, Zihang Su, Nir Lipovetzky, Sebastian Sardiña:
Goal Recognition Using Off-The-Shelf Process Mining Techniques. AAMAS 2020: 1072-1080 - [c25]Florent Teichteil-Königsbuch, Miquel Ramírez, Nir Lipovetzky:
Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains. IJCAI 2020: 4183-4189 - [i4]Gang Chen, Yi Ding, Hugo Edwards, Chong Hin Chau, Sai Hou, Grace Johnson, Mohammed Sharukh Syed, Haoyuan Tang, Yue Wu, Ye Yan, Gil Tidhar, Nir Lipovetzky:
Planimation. CoRR abs/2008.04600 (2020)
2010 – 2019
- 2019
- [b2]Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, Christian Muise:
An Introduction to the Planning Domain Definition Language. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00456-8 - [j1]Nir Lipovetzky, Sebastian Sardiña:
Pacman Capture the Flag in AI Courses. IEEE Trans. Games 11(3): 296-299 (2019) - [c24]Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Best-First Width Search for Multi Agent Privacy-Preserving Planning. ICAPS 2019: 163-171 - [c23]Alfonso Emilio Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Novelty Messages Filtering for Multi Agent Privacy-Preserving Plannin. SOCS 2019: 79-87 - [e1]J. Benton, Nir Lipovetzky, Eva Onaindia, David E. Smith, Siddharth Srivastava:
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, ICAPS 2019, Berkeley, CA, USA, July 11-15, 2019. AAAI Press 2019 [contents] - [i3]Guang Hu, Tim Miller, Nir Lipovetzky:
What you get is what you see: Decomposing Epistemic Planning using Functional STRIPS. CoRR abs/1903.11777 (2019) - [i2]Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Best-First Width Search for Multi Agent Privacy-preserving Planning. CoRR abs/1906.03955 (2019) - [i1]Alfonso Emilio Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Novelty Messages Filtering for Multi Agent Privacy-preserving Planning. CoRR abs/1906.08061 (2019) - 2018
- [c22]Gabriele Bazzotti, Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina:
Iterative Width Search for Multi Agent Privacy-Preserving Planning. AI*IA 2018: 431-444 - [c21]Miquel Ramírez, Michael Papasimeon, Nir Lipovetzky, Lyndon Benke, Tim Miller, Adrian R. Pearce, Enrico Scala, Mohammad Zamani:
Integrated Hybrid Planning and Programmed Control for Real Time UAV Maneuvering. AAMAS 2018: 1318-1326 - [c20]Aleck M. MacNally, Nir Lipovetzky, Miquel Ramírez, Adrian R. Pearce:
Action Selection for Transparent Planning. AAMAS 2018: 1327-1335 - 2017
- [c19]Nir Lipovetzky, Hector Geffner:
Best-First Width Search: Exploration and Exploitation in Classical Planning. AAAI 2017: 3590-3596 - [c18]Michael Katz, Nir Lipovetzky, Dany Moshkovich, Alexander Tuisov:
Adapting Novelty to Classical Planning as Heuristic Search. ICAPS 2017: 172-180 - [c17]Nir Lipovetzky, Hector Geffner:
A Polynomial Planning Algorithm that Beats LAMA and FF. ICAPS 2017: 195-199 - [c16]Lukás Chrpa, Nir Lipovetzky, Sebastian Sardiña:
Handling non-local dead-ends in Agent Planning Programs. IJCAI 2017: 971-978 - [c15]Guillem Francès, Miquel Ramírez, Nir Lipovetzky, Hector Geffner:
Purely Declarative Action Descriptions are Overrated: Classical Planning with Simulators. IJCAI 2017: 4294-4301 - [c14]Miquel Ramírez, Michael Papasimeon, Lyndon Benke, Nir Lipovetzky, Tim Miller, Adrian R. Pearce:
Real-Time UAV Maneuvering via Automated Planning in Simulations. IJCAI 2017: 5243-5245 - 2016
- [c13]Nir Lipovetzky, Christian J. Muise, Hector Geffner:
Traps, Invariants, and Dead-Ends. ICAPS 2016: 211-215 - [c12]Toby O. Davies, Adrian R. Pearce, Peter J. Stuckey, Nir Lipovetzky:
Sequencing Operator Counts. IJCAI 2016: 4140-4144 - 2015
- [c11]Nir Lipovetzky, Miquel Ramírez, Hector Geffner:
Classical Planning Algorithms on the Atari Video Games. AAAI Workshop: Learning for General Competency in Video Games 2015 - [c10]Toby O. Davies, Adrian R. Pearce, Peter J. Stuckey, Nir Lipovetzky:
Sequencing Operator Counts. ICAPS 2015: 61-69 - [c9]Christina N. Burt, Nir Lipovetzky, Adrian R. Pearce, Peter J. Stuckey:
Scheduling with Fixed Maintenance, Shared Resources and Nonlinear Feedrate Constraints: A Mine Planning Case Study. CPAIOR 2015: 91-107 - [c8]Nir Lipovetzky, Miquel Ramírez, Hector Geffner:
Classical Planning with Simulators: Results on the Atari Video Games. IJCAI 2015: 1610-1616 - 2014
- [c7]Nir Lipovetzky, Christina N. Burt, Adrian R. Pearce, Peter J. Stuckey:
Planning for Mining Operations with Time and Resource Constraints. ICAPS 2014 - [c6]Nir Lipovetzky, Hector Geffner:
Width-based Algorithms for Classical Planning: New Results. ECAI 2014: 1059-1060 - 2013
- [c5]Fabio Patrizi, Nir Lipovetzky, Hector Geffner:
Fair LTL Synthesis for Non-Deterministic Systems using Strong Cyclic Planners. IJCAI 2013: 2343-2349 - 2012
- [b1]Nir Lipovetzky:
Structure and inference in classical planning. Pompeu Fabra University, Spain, 2012 - [c4]Nir Lipovetzky, Hector Geffner:
Width and Serialization of Classical Planning Problems. ECAI 2012: 540-545 - 2011
- [c3]Nir Lipovetzky, Hector Geffner:
Searching for Plans with Carefully Designed Probes. ICAPS 2011 - [c2]Fabio Patrizi, Nir Lipovetzky, Giuseppe De Giacomo, Hector Geffner:
Computing Infinite Plans for LTL Goals Using a Classical Planner. IJCAI 2011: 2003-2008
2000 – 2009
- 2009
- [c1]Nir Lipovetzky, Hector Geffner:
Inference and Decomposition in Planning Using Causal Consistent Chains. ICAPS 2009
Coauthor Index
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