Inference and Decomposition in Planning Using Causal Consistent Chains. - Nir Lipovetzky; Hector Geffner (ICAPS, 2009)

Searching for Plans with Carefully Designed Probes. - Nir Lipovetzky; Hector Geffner (ICAPS, 2011)

Computing Infinite Plans for LTL Goals Using a Classical Planner. - Fabio Patrizi; Nir Lipovetzky; Giuseppe De Giacomo; Hector Geffner (IJCAI, 2011)

Width and Serialization of Classical Planning Problems. - Nir Lipovetzky; Hector Geffner (ECAI, 2012)

Structure and inference in classical planning. - Nir Lipovetzky (2012)

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

Planning for Mining Operations with Time and Resource Constraints. - Nir Lipovetzky; Christina N. Burt; Adrian R. Pearce; Peter J. Stuckey (ICAPS, 2014)

Width-based Algorithms for Classical Planning: New Results. - Nir Lipovetzky; Hector Geffner (ECAI, 2014)

Classical Planning Algorithms on the Atari Video Games. - Nir Lipovetzky; Miquel Ramírez; Hector Geffner (AAAI Workshop: Learning for General Competency in Video Games, 2015)

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

Classical Planning with Simulators: Results on the Atari Video Games. - Nir Lipovetzky; Miquel Ramírez; Hector Geffner (IJCAI, 2015)

Traps, Invariants, and Dead-Ends. - Nir Lipovetzky; Christian J. Muise; Hector Geffner (ICAPS, 2016)

Sequencing Operator Counts. - Toby O. Davies; Adrian R. Pearce; Peter J. Stuckey; Nir Lipovetzky (IJCAI, 2016)

Best-First Width Search: Exploration and Exploitation in Classical Planning. - Nir Lipovetzky; Hector Geffner (AAAI, 2017)

Adapting Novelty to Classical Planning as Heuristic Search. - Michael Katz 001; Nir Lipovetzky; Dany Moshkovich; Alexander Tuisov (ICAPS, 2017)

A Polynomial Planning Algorithm that Beats LAMA and FF. - Nir Lipovetzky; Hector Geffner (ICAPS, 2017)

Handling non-local dead-ends in Agent Planning Programs. - Lukás Chrpa; Nir Lipovetzky; Sebastian Sardiña (IJCAI, 2017)

Purely Declarative Action Descriptions are Overrated: Classical Planning with Simulators. - Guillem Francès; Miquel Ramírez; Nir Lipovetzky; Hector Geffner (IJCAI, 2017)

Real-Time UAV Maneuvering via Automated Planning in Simulations. - Miquel Ramírez; Michael Papasimeon; Lyndon Benke; Nir Lipovetzky; Tim Miller 001; Adrian R. Pearce (IJCAI, 2017)

Iterative Width Search for Multi Agent Privacy-Preserving Planning. - Gabriele Bazzotti; Alfonso Emilio Gerevini; Nir Lipovetzky; Francesco Percassi; Alessandro Saetti; Ivan Serina (AI*IA, 2018)

Action Selection for Transparent Planning. - Aleck M. MacNally; Nir Lipovetzky; Miquel Ramírez; Adrian R. Pearce (AAMAS, 2018)

Integrated Hybrid Planning and Programmed Control for Real Time UAV Maneuvering. - Miquel Ramírez; Michael Papasimeon; Nir Lipovetzky; Lyndon Benke; Tim Miller 001; Adrian R. Pearce; Enrico Scala; Mohammad Zamani (AAMAS, 2018)

Best-First Width Search for Multi Agent Privacy-Preserving Planning. - Alfonso Emilio Gerevini; Nir Lipovetzky; Francesco Percassi; Alessandro Saetti; Ivan Serina (ICAPS, 2019)

Novelty Messages Filtering for Multi Agent Privacy-Preserving Plannin. - Alfonso Emilio Gerevini; Nir Lipovetzky; Nico Peli; Francesco Percassi; Alessandro Saetti; Ivan Serina (SOCS, 2019)

What you get is what you see: Decomposing Epistemic Planning using Functional STRIPS. - Guang Hu 003; Tim Miller 001; Nir Lipovetzky (CoRR, 2019)

Novelty Messages Filtering for Multi Agent Privacy-preserving Planning. - Alfonso Emilio Gerevini; Nir Lipovetzky; Nico Peli; Francesco Percassi; Alessandro Saetti; Ivan Serina (CoRR, 2019)

Pacman Capture the Flag in AI Courses. - Nir Lipovetzky; Sebastian Sardiña (IEEE Trans. Games, 2019)

An Introduction to the Planning Domain Definition Language - Patrik Haslum; Nir Lipovetzky; Daniele Magazzeni; Christian Muise (Morgan & Claypool Publishers, 2019)

Goal Recognition Using Off-The-Shelf Process Mining Techniques. - Artem Polyvyanyy; Zihang Su; Nir Lipovetzky; Sebastian Sardiña (AAMAS, 2020)

Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains. - Florent Teichteil-Königsbuch; Miquel Ramírez; Nir Lipovetzky (IJCAI, 2020)

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

Width-Based Backward Search. - Chao Lei; Nir Lipovetzky (ICAPS, 2021)

Approximate Novelty Search. - Anubhav Singh; Nir Lipovetzky; Miquel Ramírez; Javier Segovia-Aguas (ICAPS, 2021)

Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning. - Nir Lipovetzky (IJCAI, 2021)

Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark. - Stefan O'Toole; Nir Lipovetzky; Miquel Ramírez; Adrian R. Pearce (NeurIPS, 2021)

Planning for Novelty: Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning. - Nir Lipovetzky (CoRR, 2021)

Behaviour Recognition with Kinodynamic Planning Over Continuous Domains. - Grady Fitzpatrick; Nir Lipovetzky; Michael Papasimeon; Miquel Ramírez; Mor Vered (Frontiers Artif. Intell., 2021)

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 Jane Tongson; Nir Lipovetzky; Frank R. Dunshea (Sensors, 2021)

GRACE: A Simulator for Continuous Goal Recognition over Changing Environments. - Zihang Su; Artem Polyvyanyy; Nir Lipovetzky; Sebastian Sardiña; Nick van Beest (PMAI@IJCAI, 2022)

On the Use of Width-Based Search for Multi Agent Privacy-Preserving Planning (Extended Abstract). - Alfonso Emilio Gerevini; Nir Lipovetzky; Francesco Percassi; Alessandro Saetti; Ivan Serina (SOCS, 2022)

Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning (Extended Abstract). - Stefan O'Toole; Miquel Ramírez; Nir Lipovetzky; Adrian R. Pearce (SOCS, 2022)

Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning. - Stefan O'Toole; Miquel Ramírez; Nir Lipovetzky; Adrian R. Pearce (CoRR, 2022)

Planning with Perspectives - Decomposing Epistemic Planning using Functional STRIPS. - Guang Hu 003; Tim Miller 001; Nir Lipovetzky (J. Artif. Intell. Res., 2022)

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

Planning with Multi-Agent Belief Using Justified Perspectives. - Guang Hu 003; Tim Miller 001; Nir Lipovetzky (ICAPS, 2023)

Goal Recognition with Timing Information. - Chenyuan Zhang; Charles Kemp; Nir Lipovetzky (ICAPS, 2023)

Comparing AI Planning Algorithms with Humans on the Tower of London Task. - Chenyuan Zhang; Nir Lipovetzky; Charles Kemp (CogSci, 2023)

Diverse, Top-k, and Top-Quality Planning Over Simulators. - Lyndon Benke; Tim Miller 001; Michael Papasimeon; Nir Lipovetzky (ECAI, 2023)

Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. - Zihang Su; Tianshi Yu; Nir Lipovetzky; Alireza Mohammadi 002; Denny Oetomo; Artem Polyvyanyy; Sebastian Sardiña; Ying Tan 001; Nick van Beest (ICPM, 2023)

Novelty and Lifted Helpful Actions in Generalized Planning. - Chao Lei; Nir Lipovetzky; Krista A. Ehinger (SOCS, 2023)

A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents. - Sukai Huang; Nir Lipovetzky; Trevor Cohn (CoRR, 2023)

Lifted Sequential Planning with Lazy Constraint Generation Solvers. - Anubhav Singh; Miquel Ramírez; Nir Lipovetzky; Peter J. Stuckey (CoRR, 2023)

Width-based search for multi agent privacy-preserving planning. - Alfonso Emilio Gerevini; Nir Lipovetzky; Francesco Percassi; Alessandro Saetti; Ivan Serina (Artif. Intell., 2023)

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

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

Generalized Planning for the Abstraction and Reasoning Corpus. - Chao Lei; Nir Lipovetzky; Krista A. Ehinger (AAAI, 2024)

Model AI Assignments 2024. - 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 (AAAI, 2024)

Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability. - Chenyuan Zhang; Charles Kemp; Nir Lipovetzky (AAMAS, 2024)

Count-Based Novelty Exploration in Classical Planning. - Giacomo Rosa; Nir Lipovetzky (ECAI, 2024)

Agent System Event Data: Concepts, Dimensions, Applications. - Qingtan Shen; Artem Polyvyanyy; Nir Lipovetzky; Timotheus Kampik (ER, 2024)

Beyond Success: Quantifying Demonstration Quality in Learning from Demonstration. - Muhammad Bilal; Nir Lipovetzky; Denny Oetomo; Wafa Johal (IROS, 2024)

Overcoming Reward Model Noise in Instruction-Guided Reinforcement Learning. - Sukai Huang; Nir Lipovetzky; Trevor Cohn (CoRR, 2024)

Where Common Knowledge Cannot Be Formed, Common Belief Can - Planning with Multi-Agent Belief Using Group Justified Perspectives. - Guang Hu 003; Tim Miller 001; Nir Lipovetzky (CoRR, 2024)

Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation. - Sukai Huang; Trevor Cohn; Nir Lipovetzky (CoRR, 2024)

Adaptive goal recognition using process mining techniques. - Zihang Su; Artem Polyvyanyy; Nir Lipovetzky; Sebastian Sardiña; Nick van Beest (Eng. Appl. Artif. Intell., 2024)

Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts. - Sukai Huang; Nir Lipovetzky; Trevor Cohn (AAAI, 2025)

State-Based Disassembly Planning. - Chao Lei; Nir Lipovetzky; Krista A. Ehinger (AAAI, 2025)

Planning-Driven Programming: A Large Language Model Programming Workflow. - Chao Lei; Yanchuan Chang; Nir Lipovetzky; Krista A. Ehinger (ACL (1), 2025)

Process mining over sensor data: Goal recognition for powered transhumeral prostheses. - Zihang Su; Tianshi Yu; Artem Polyvyanyy; Ying Tan 001; Nir Lipovetzky; Sebastian Sardiña; Nick van Beest; Alireza Mohammadi 002; Denny Oetomo (Inf. Syst., 2025)

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark. - Chao Lei; Nir Lipovetzky; Krista A. Ehinger; Yanchuan Chang (CoRR, 2025)

Optimizing HPC scheduling: a hierarchical reinforcement learning approach for intelligent job selection and allocation. - Lingfei Wang; Maria A. Rodriguez 001; Nir Lipovetzky (J. Supercomput., 2025)