Dr Nir Lipovetzky

  • Room: Level: 06 Room: 19
  • Building: Doug McDonell Building
  • Campus: Parkville

Personal webpage

http://people.eng.unimelb.edu.au/nlipovetzky/

Biography

Nir Lipovetzky is a Lecturer in the Department of Computing and Information Systems at The University of Melbourne. His research is in the area of Automated Planning and Search, with a special focus on how to introduce different approaches to the problem of inference in planning, and applying automated planning to Open Pit Mine Scheduling problems. He's involved in the development of the Lightweight Automated Planning ToolKiT (LAPKT), aimed to make your life easier if your purpose is to create, use or extend basic to advanced Automated Planners.

Recent publications

  1. Macnally, AM.; Lipovetzky, N.; Ramirez, M.; Pearce, AR. Action selection for transparent planning. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. IFAAMAS International Foundation for Autonomous Agents and Multiagent Systems. 2018, Vol. 2, pp. 1327-1335.
  2. Ramirez, M.; Benke, L.; Papasimeon, M.; Lipovetzky, N.; Pearce, AR.; Zamani, M.; Scala, E.; Miller, T. Integrated hybrid planning and programmed control for real-time UAV maneuvering. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. Elsevier Inc.. 2018, Vol. 2, pp. 1318-1326.
  3. Bazzotti, G.; Gerevini, AE.; Lipovetzky, N.; Percassi, F.; Saetti, A.; Serina, I. Iterative Width Search for Multi Agent Privacy-Preserving Planning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018, Vol. 11298 LNAI, pp. 431-444. DOI: 10.1007/978-3-030-03840-3_32
  4. Lipovetzky, N.; Geffner, H. A polynomial planning algorithm that beats lama and FF. Proceedings International Conference on Automated Planning and Scheduling, ICAPS. Association for the Advancement of Artificial Intelligence. 2017, pp. 195-199.
  5. Katz, M.; Moshkovich, D.; Lipovetzky, N.; Tüisov, A. Adapting novelty to classical planning as heuristic search. Proceedings International Conference on Automated Planning and Scheduling, ICAPS. Association for the Advancement of Artificial Intelligence. 2017, pp. 172-180.
  6. Lipovetzky, N.; Geffner, H. Best-first width search: Exploration and exploitation in classical planning. 31st AAAI Conference on Artificial Intelligence, AAAI 2017. Unknown. 2017, pp. 3590-3596.
  7. Chrpa, L.; Lipovetzky, N.; Sardina, S. Handling non-local dead-ends in agent planning programs. IJCAI International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence. 2017, pp. 971-978.
  8. Francès, G.; Ramírez, M.; Lipovetzky, N.; Geffner, H. Purely declarative action representations are overrated: Classical planning with simulators. International Joint Conference in Artificial Intelligence (IJCAI). International Joint Conferences on Artificial Intelligence. 2017, pp. 4294-4301.
  9. Ramirez, M.; Papasimeon, M.; Benke, L.; Lipovetzky, N.; Miller, T.; Pearce, AR. Real-time UAV maneuvering via automated planning in simulations. IJCAI International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence. 2017, pp. 5243-5245.
  10. Davies, TO.; Pearce, AR.; Stuckey, P.; Lipovetzky, N. Sequencing operator counts. IJCAI International Joint Conference on Artificial Intelligence. AAAI Press. 2016, Vol. 2016-January, pp. 4140-4144.
  11. Lipovetzky, N.; Muise, C.; Geffner, H. Traps, invariants, and dead-ends. Proceedings International Conference on Automated Planning and Scheduling, ICAPS. International Conference on Automated Planning and Scheduling (ICAPS). 2016, Vol. 2016-January, pp. 211-215.
  12. Burt, CN.; Lipovetzky, N.; Pearce, AR.; Stuckey, PJ. Approximate uni-directional benders decomposition. Proceedings of PlanSOpt-15 Workshop on Planning, Search and Optimization AAAI-15 (2015). AAAI Press. 2015, Vol. WS-15-12, pp. 24-31.
  13. Lipovetzky, N.; Ramirez, M.; Geffner, H. Classical Planning Algorithms on the Atari Video Games: Preliminary Results. Proc. AAAI Workshop on Learning for General Competency in Video Games. AAAI Press. 2015, pp. 21-28.
  14. Lipovetzky, N.; Ramirez, M.; Geffner, H. Classical Planning with Simulators: Results on the Atari Video Games. IJCAI International Joint Conference on Artificial Intelligence. IJCAI-INT JOINT CONF ARTIF INTELL. 2015, Vol. 2015-January, pp. 1610-1616.
  15. Muise, C.; Lipovetzky, N.; Ramirez, M. MAP-LAPKT: Omnipotent Multi-Agent Planning via Compilation to Classical Planning. . 2015.
  16. Blom, M.; Burt, C.; Lipovetzky, N.; Pearce, A.; Stuckey, P. Scheduling Tools for Open-Pit Mining Operations. . 2015.
  17. Burt, CN.; Lipovetzky, N.; Pearce, AR.; Stuckey, PJ. Scheduling with Fixed Maintenance, Shared Resources and Nonlinear Feedrate Constraints: A Mine Planning Case Study. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER-VERLAG BERLIN. 2015, Vol. 9075, pp. 91-107. DOI: 10.1007/978-3-319-18008-3_7
  18. Davies, TO.; Pearce, AR.; Stuckey, P.; Lipovetzky, N. Sequencing operator counts. Proceedings International Conference on Automated Planning and Scheduling, ICAPS. AAAI Press. 2015, Vol. 2015-January, pp. 61-69.
  19. Muise, C.; Lipovetzky, N. Unplannability IPC Track. . Research Workshop of the Israel Science Foundation. 2015, pp. 14-16.
  20. Balbo, AL.; Rubio-campillo, X.; Rondelli, B.; Ramirez, M.; Lancelotti, C.; Torrano, A.; Salpeteur, M.; Lipovetzky, N.; Reyes-garcia, V.; Montanola, C.; Madella, M. Agent-Based Simulation of Holocene Monsoon Precipitation Patterns and Hunter-Gatherer Population Dynamics in Semi-arid Environments. Journal of Archaeological Method and Theory. SPRINGER. 2014, Vol. 21, Issue 2, pp. 426-446. DOI: 10.1007/s10816-014-9203-1

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile