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 School of Computing and Information Systems at The University of Melbourne. His research is in the area of AI Planning and Search, with a special focus on how to introduce different approaches to the problem of inference in planning, and applying it to autonomous systems. 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. Haslum, P.; Lipovetzky, N.; Magazzeni, D.; Muise, C. An Introduction to the Planning Domain Definition Language. . Morgan & Claypool Publishers LLC. 2019, Vol. 13, pp. 1-169. DOI: 10.2200/S00900ED2V01Y201902AIM042
  2. 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.
  3. Ramirez, M.; Papasimeon, M.; Lipovetzky, N.; Benke, L.; Miller, T.; Pearce, AR.; Scala, E.; Zamani, M. Integrated Hybrid Planning and Programmed Control for Real–Time UAV Maneuvering. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. International Foundation for Autonomous Agents and Multiagent Systems. 2018, Vol. 2, pp. 1318-1326.
  4. 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). Springer International Publishing. 2018, Vol. 11298 LNAI, pp. 431-444. DOI: 10.1007/978-3-030-03840-3_32
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Frances, G.; Ram Irez, M.; Lipovetzky, N.; Geffner, H. Purely Declarative Action Representations are Overrated: Classical Planning with Simulators. IJCAI International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence. 2017, pp. 4294-4301.
  10. Ramirez Javega, M.; Papasimeon, M.; Benke, L.; Lipovetzky, N.; Miller, T.; Pearce, A. Real-Time UAV Maneuvering via Automated Planning in Simulations. IJCAI International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence. 2017, pp. 5248-5255.
  11. 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.
  12. 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.
  13. Burt, CN.; Lipovetzky, N.; Pearce, AR.; Stuckey, PJ. Approximate Uni-directional Benders Decomposition. AAAI Workshop - Technical Report. AAAI Press. 2015, Vol. WS-15-12, pp. 24-31.
  14. 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.
  15. Lipovetzky, N.; Ramirez, M.; Geffner, H. Classical planning with simulators: Results on the atari video games. IJCAI International Joint Conference on Artificial Intelligence. AAAI Press. 2015, Vol. 2015-January, pp. 1610-1616.
  16. Muise, C.; Lipovetzky, N.; Ramirez, M. MAP-LAPKT: Omnipotent Multi-Agent Planning via Compilation to Classical Planning. . 2015.
  17. Blom, M.; Burt, C.; Lipovetzky, N.; Pearce, A.; Stuckey, P. Scheduling Tools for Open-Pit Mining Operations. . 2015.
  18. 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. 2015, Vol. 9075, pp. 91-107. DOI: 10.1007/978-3-319-18008-3_7
  19. 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.
  20. Muise, C.; Lipovetzky, N. Unplannability IPC Track. . Research Workshop of the Israel Science Foundation. 2015, pp. 14-16.

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