Nir Lipovetzky

94 papers A* 29A 11B 9Journal 39Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Applying organizational mining to discover agent systems from event data. Inf. Syst. Qingtan Shen, Artem Polyvyanyy, Nir Lipovetzky, Timotheus Kampik
2026	J	`jnl`	Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty. CoRR Zhihao Pei, Nir Lipovetzky, Angela M. Rojas-Arevalo, Fjalar J. de Haan, Enayat A. Moallemi
2026	A*	`conf`	Investigating the Impact of Robot Degree of Redundancy on Learning from Demonstration. HRI Muhammad Bilal, D. Antony Chacon, Nir Lipovetzky, Denny Oetomo, Wafa Johal
2026	J	`jnl`	MetaPilot: A DRL-based controller for dynamic adaptation to shifting scheduling objectives in HPC systems. Future Gener. Comput. Syst. Lingfei Wang, Maria A. Rodriguez, Nir Lipovetzky
2026	J	`jnl`	Planning as Goal Recognition: Deriving Heuristics from Intention Models - Extended Version. CoRR Giacomo Rosa, Jean Honorio, Nir Lipovetzky, Sebastian Sardiña
2025	B	`conf`	Accelerating RL-Based Scheduler Adaptation with Transfer Learning in Evolving HPC Architectures. CLOUD Lingfei Wang, Maria A. Rodriguez, Nir Lipovetzky
2025	J	`jnl`	From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark. CoRR Chao Lei, Nir Lipovetzky, Krista A. Ehinger, Yanchuan Chang
2025	B	`conf`	HPCsim: A High-Level Simulation and Workload Data Schema Framework for HPC Workload Management Research. SMC Lingfei Wang, Maria A. Rodriguez, Nir Lipovetzky
2025	A	`conf`	On the Computational Complexity of Partial Satisfaction Planning. ECAI Jiajia Song, Seeun William Umboh, Nir Lipovetzky, Sebastian Sardiña
2025	J	`jnl`	Optimizing HPC scheduling: a hierarchical reinforcement learning approach for intelligent job selection and allocation. J. Supercomput. Lingfei Wang, Maria A. Rodriguez, Nir Lipovetzky
2025	A*	`conf`	Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts. AAAI Sukai Huang, Nir Lipovetzky, Trevor Cohn
2025	—	`conf`	Planning-Driven Programming: A Large Language Model Programming Workflow. ACL (1) Chao Lei, Yanchuan Chang, Nir Lipovetzky, Krista A. Ehinger
2025	J	`jnl`	Process mining over sensor data: Goal recognition for powered transhumeral prostheses. Inf. Syst. Zihang Su, Tianshi Yu, Artem Polyvyanyy, Ying Tan, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest, Alireza Mohammadi, Denny Oetomo
2025	A*	`conf`	State-Based Disassembly Planning. AAAI Chao Lei, Nir Lipovetzky, Krista A. Ehinger
2025	J	`jnl`	State-Based Disassembly Planning. CoRR Chao Lei, Nir Lipovetzky, Krista A. Ehinger
2024	J	`jnl`	Adaptive goal recognition using process mining techniques. Eng. Appl. Artif. Intell. Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest
2024	A	`conf`	Agent System Event Data: Concepts, Dimensions, Applications. ER Qingtan Shen, Artem Polyvyanyy, Nir Lipovetzky, Timotheus Kampik
2024	A	`conf`	Beyond Success: Quantifying Demonstration Quality in Learning from Demonstration. IROS Muhammad Bilal, Nir Lipovetzky, Denny Oetomo, Wafa Johal
2024	J	`jnl`	Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation. CoRR Sukai Huang, Trevor Cohn, Nir Lipovetzky
2024	A	`conf`	Count-Based Novelty Exploration in Classical Planning. ECAI Giacomo Rosa, Nir Lipovetzky
2024	J	`jnl`	Count-based Novelty Exploration in Classical Planning. CoRR Giacomo Rosa, Nir Lipovetzky
2024	A*	`conf`	Generalized Planning for the Abstraction and Reasoning Corpus. AAAI Chao Lei, Nir Lipovetzky, Krista A. Ehinger
2024	J	`jnl`	Generalized Planning for the Abstraction and Reasoning Corpus. CoRR Chao Lei, Nir Lipovetzky, Krista A. Ehinger
2024	A	`conf`	Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability. AAMAS Chenyuan Zhang, Charles Kemp, Nir Lipovetzky
2024	J	`jnl`	Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability. CoRR Chenyuan Zhang, Charles Kemp, Nir Lipovetzky
2024	A*	`conf`	Model AI Assignments 2024. AAAI 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
2024	J	`jnl`	Overcoming Reward Model Noise in Instruction-Guided Reinforcement Learning. CoRR Sukai Huang, Nir Lipovetzky, Trevor Cohn
2024	J	`jnl`	Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts. CoRR Sukai Huang, Nir Lipovetzky, Trevor Cohn
2024	J	`jnl`	Planning-Driven Programming: A Large Language Model Programming Workflow. CoRR Chao Lei, Yanchuan Chang, Nir Lipovetzky, Krista A. Ehinger
2024	J	`jnl`	Where Common Knowledge Cannot Be Formed, Common Belief Can - Planning with Multi-Agent Belief Using Group Justified Perspectives. CoRR Guang Hu, Tim Miller, Nir Lipovetzky
2023	J	`jnl`	A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents. CoRR Sukai Huang, Nir Lipovetzky, Trevor Cohn
2023	B	`conf`	Comparing AI Planning Algorithms with Humans on the Tower of London Task. CogSci Chenyuan Zhang, Nir Lipovetzky, Charles Kemp
2023	B	`conf`	Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. ICPM Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardiña, Ying Tan, Nick van Beest
2023	J	`jnl`	Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. CoRR Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardiña, Ying Tan, Nick van Beest
2023	A	`conf`	Diverse, Top-k, and Top-Quality Planning Over Simulators. ECAI Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky
2023	J	`jnl`	Diverse, Top-k, and Top-Quality Planning Over Simulators. CoRR Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky
2023	J	`jnl`	Fast and accurate data-driven goal recognition using process mining techniques. Artif. Intell. Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest
2023	A*	`conf`	Goal Recognition with Timing Information. ICAPS Chenyuan Zhang, Charles Kemp, Nir Lipovetzky
2023	J	`jnl`	Learning User Preferences for Complex Cobotic Tasks: Meta-Behaviors and Human Groups. IEEE Robotics Autom. Lett. Elena M. Vella, Airlie Chapman, Nir Lipovetzky
2023	J	`jnl`	Lifted Sequential Planning with Lazy Constraint Generation Solvers. CoRR Anubhav Singh, Miquel Ramírez, Nir Lipovetzky, Peter J. Stuckey
2023	B	`conf`	Novelty and Lifted Helpful Actions in Generalized Planning. SOCS Chao Lei, Nir Lipovetzky, Krista A. Ehinger
2023	J	`jnl`	Novelty and Lifted Helpful Actions in Generalized Planning. CoRR Chao Lei, Nir Lipovetzky, Krista A. Ehinger
2023	A*	`conf`	Planning with Multi-Agent Belief Using Justified Perspectives. ICAPS Guang Hu, Tim Miller, Nir Lipovetzky
2023	J	`jnl`	Width-based search for multi agent privacy-preserving planning. Artif. Intell. Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
2022	—	`conf`	GRACE: A Simulator for Continuous Goal Recognition over Changing Environments. PMAI@IJCAI Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest
2022	J	`jnl`	Livestock Identification Using Deep Learning for Traceability. Sensors Hai Ho Dac, Claudia Gonzalez Viejo, Nir Lipovetzky, Eden Jane Tongson, Frank R. Dunshea, Sigfredo Fuentes
2022	B	`conf`	On the Use of Width-Based Search for Multi Agent Privacy-Preserving Planning (Extended Abstract). SOCS Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
2022	J	`jnl`	Planning with Perspectives - Decomposing Epistemic Planning using Functional STRIPS. J. Artif. Intell. Res. Guang Hu, Tim Miller, Nir Lipovetzky
2022	B	`conf`	Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning (Extended Abstract). SOCS Stefan O'Toole, Miquel Ramírez, Nir Lipovetzky, Adrian R. Pearce
2022	J	`jnl`	Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning. CoRR Stefan O'Toole, Miquel Ramírez, Nir Lipovetzky, Adrian R. Pearce
2021	A*	`conf`	Approximate Novelty Search. ICAPS Anubhav Singh, Nir Lipovetzky, Miquel Ramírez, Javier Segovia-Aguas
2021	J	`jnl`	Approximate Novelty Search. CoRR Anubhav Singh, Nir Lipovetzky, Miquel Ramírez, Javier Segovia-Aguas
2021	J	`jnl`	Behaviour Recognition with Kinodynamic Planning Over Continuous Domains. Frontiers Artif. Intell. Grady Fitzpatrick, Nir Lipovetzky, Michael Papasimeon, Miquel Ramírez, Mor Vered
2021	J	`jnl`	Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence. Sensors Sigfredo Fuentes, Claudia Gonzalez Viejo, Eden Jane Tongson, Nir Lipovetzky, Frank R. Dunshea
2021	J	`jnl`	Planning for Novelty: Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning. CoRR Nir Lipovetzky
2021	A*	`conf`	Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning. IJCAI Nir Lipovetzky
2021	A*	`conf`	Width-Based Backward Search. ICAPS Chao Lei, Nir Lipovetzky
2021	A*	`conf`	Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark. NeurIPS Stefan O'Toole, Nir Lipovetzky, Miquel Ramírez, Adrian R. Pearce
2021	J	`jnl`	Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark. CoRR Stefan O'Toole, Nir Lipovetzky, Miquel Ramírez, Adrian R. Pearce
2020	J	`jnl`	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 Sigfredo Fuentes, Vasiliki Summerson, Claudia Gonzalez Viejo, Eden Jane Tongson, Nir Lipovetzky, Kerry Wilkinson, Colleen Szeto, Ranjith R. Unnithan
2020	A*	`conf`	Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains. IJCAI Florent Teichteil-Königsbuch, Miquel Ramírez, Nir Lipovetzky
2020	A	`conf`	Goal Recognition Using Off-The-Shelf Process Mining Techniques. AAMAS Artem Polyvyanyy, Zihang Su, Nir Lipovetzky, Sebastian Sardiña
2020	J	`jnl`	Planimation. CoRR 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
2019	—	`book`	An Introduction to the Planning Domain Definition Language Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, Christian Muise
2019	A*	`conf`	Best-First Width Search for Multi Agent Privacy-Preserving Planning. ICAPS Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
2019	J	`jnl`	Best-First Width Search for Multi Agent Privacy-preserving Planning. CoRR Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
2019	B	`conf`	Novelty Messages Filtering for Multi Agent Privacy-Preserving Plannin. SOCS Alfonso Emilio Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina
2019	J	`jnl`	Novelty Messages Filtering for Multi Agent Privacy-preserving Planning. CoRR Alfonso Emilio Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina
2019	J	`jnl`	Pacman Capture the Flag in AI Courses. IEEE Trans. Games Nir Lipovetzky, Sebastian Sardiña
2019	A*	`ed.`	Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, ICAPS 2019, Berkeley, CA, USA, July 11-15, 2019. ICAPS J. Benton, Nir Lipovetzky, Eva Onaindia, David E. Smith, Siddharth Srivastava
2019	J	`jnl`	What you get is what you see: Decomposing Epistemic Planning using Functional STRIPS. CoRR Guang Hu, Tim Miller, Nir Lipovetzky
2018	A	`conf`	Action Selection for Transparent Planning. AAMAS Aleck M. MacNally, Nir Lipovetzky, Miquel Ramírez, Adrian R. Pearce
2018	A	`conf`	Integrated Hybrid Planning and Programmed Control for Real Time UAV Maneuvering. AAMAS Miquel Ramírez, Michael Papasimeon, Nir Lipovetzky, Lyndon Benke, Tim Miller, Adrian R. Pearce, Enrico Scala, Mohammad Zamani
2018	—	`conf`	Iterative Width Search for Multi Agent Privacy-Preserving Planning. AI*IA Gabriele Bazzotti, Alfonso Emilio Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
2017	A*	`conf`	A Polynomial Planning Algorithm that Beats LAMA and FF. ICAPS Nir Lipovetzky, Hector Geffner
2017	A*	`conf`	Adapting Novelty to Classical Planning as Heuristic Search. ICAPS Michael Katz, Nir Lipovetzky, Dany Moshkovich, Alexander Tuisov
2017	A*	`conf`	Best-First Width Search: Exploration and Exploitation in Classical Planning. AAAI Nir Lipovetzky, Hector Geffner
2017	A*	`conf`	Handling non-local dead-ends in Agent Planning Programs. IJCAI Lukás Chrpa, Nir Lipovetzky, Sebastian Sardiña
2017	A*	`conf`	Purely Declarative Action Descriptions are Overrated: Classical Planning with Simulators. IJCAI Guillem Francès, Miquel Ramírez, Nir Lipovetzky, Hector Geffner
2017	A*	`conf`	Real-Time UAV Maneuvering via Automated Planning in Simulations. IJCAI Miquel Ramírez, Michael Papasimeon, Lyndon Benke, Nir Lipovetzky, Tim Miller, Adrian R. Pearce
2016	A*	`conf`	Sequencing Operator Counts. IJCAI Toby O. Davies, Adrian R. Pearce, Peter J. Stuckey, Nir Lipovetzky
2016	A*	`conf`	Traps, Invariants, and Dead-Ends. ICAPS Nir Lipovetzky, Christian J. Muise, Hector Geffner
2015	—	`conf`	Classical Planning Algorithms on the Atari Video Games. AAAI Workshop: Learning for General Competency in Video Games Nir Lipovetzky, Miquel Ramírez, Hector Geffner
2015	A*	`conf`	Classical Planning with Simulators: Results on the Atari Video Games. IJCAI Nir Lipovetzky, Miquel Ramírez, Hector Geffner
2015	B	`conf`	Scheduling with Fixed Maintenance, Shared Resources and Nonlinear Feedrate Constraints: A Mine Planning Case Study. CPAIOR Christina N. Burt, Nir Lipovetzky, Adrian R. Pearce, Peter J. Stuckey
2015	A*	`conf`	Sequencing Operator Counts. ICAPS Toby O. Davies, Adrian R. Pearce, Peter J. Stuckey, Nir Lipovetzky
2014	A*	`conf`	Planning for Mining Operations with Time and Resource Constraints. ICAPS Nir Lipovetzky, Christina N. Burt, Adrian R. Pearce, Peter J. Stuckey
2014	A	`conf`	Width-based Algorithms for Classical Planning: New Results. ECAI Nir Lipovetzky, Hector Geffner
2013	A*	`conf`	Fair LTL Synthesis for Non-Deterministic Systems using Strong Cyclic Planners. IJCAI Fabio Patrizi, Nir Lipovetzky, Hector Geffner
2012	—	`—`	Structure and inference in classical planning. Nir Lipovetzky
2012	A	`conf`	Width and Serialization of Classical Planning Problems. ECAI Nir Lipovetzky, Hector Geffner
2011	A*	`conf`	Computing Infinite Plans for LTL Goals Using a Classical Planner. IJCAI Fabio Patrizi, Nir Lipovetzky, Giuseppe De Giacomo, Hector Geffner
2011	A*	`conf`	Searching for Plans with Carefully Designed Probes. ICAPS Nir Lipovetzky, Hector Geffner
2009	A*	`conf`	Inference and Decomposition in Planning Using Causal Consistent Chains. ICAPS Nir Lipovetzky, Hector Geffner