Felipe Trevizan

Felipe W. Trevizan

Senior Lecturer, School of Computing, ANU
Building 145, office 3.20
Australian National University Campus
Canberra ACT 2601, Australia

I am a Senior Lecturer at the Australian National University. My research interests lie at the intersection of Artificial Intelligence, Operations Research and Machine Learning including automated planning and scheduling, planning under uncertainty, heuristic search, and reinforcement learning.

Selected Publications (full list here)

  • Heuristic Search for Multi-Objective Probabilistic Planning. Chen, D., Trevizan, F. and Thiébaux, S. In Proc. of 37th AAAI Conference on Artificial Intelligence. 2023. [pdf] [bib] [code]
  • Admissible Heuristics for Multi-Objective Planning. Geisser, F., Haslum, P., Thiébaux, S. and Trevizan, F. In Proc. of 32nd Int. Conf. on Automated Planning and Scheduling (ICAPS). 2022. [pdf] [bib] [code]
  • Domain-Independent Planning Heuristics with Hypergraph Networks. Shen, W., Trevizan, F. and Thiébaux, S. In Proc. of 30th Int. Conf. on Automated Planning and Scheduling (ICAPS). 2020. [pdf] [bib] [code]
  • ASNets: Deep Learning for Generalised Planning. Toyer, S., Thiébaux, S., Trevizan, F. and Xie, L. In Journal of Artificial Intelligence. 2020. [pdf] [bib] [code]
  • Occupation Measure Heuristics for Probabilistic Planning. Trevizan, F., Thiébaux, S. and Haslum, P. In Proc. of 27th Int. Conf. on Automated Planning and Scheduling (ICAPS). 2017. (Best Paper Award) [pdf] [bib]
  • Heuristic Search in Dual Space for Constrained Stochastic Shortest Path Problems. Trevizan, F., Thiébaux, S., Santana, P. and Williams, B. In Proc. of 26th Int. Conf. on Automated Planning and Scheduling (ICAPS). 2016. (Best Paper Award) [pdf] [bib]
  • A Non-homogeneous Time Mixed Integer LP Formulation for Traffic Signal Control. Guilliard, I., Sanner, S., Trevizan, F. and Williams, B. In Transport Research Record (TRR): Journal of the Transport Research Board. 2016. (Kikuchi-Karlaftis Best Paper Award) [pdf] [bib] [demo]


  • News and Highlights
    • First heuristic search algorithms for Multi-Objective Stochastic Planning (AAAI'23).
    • New admissible heuristics for Multi-Objective Deterministic Planning (ICAPS'22).
    • New heuristics for SSPs with PLTL constraints! This time based on progression (AAAI'21).
    • I gave an Early Career Researcher Spotlight talk at the IJCAI-20.
    • STRIPS-HGN: First algorithm capable of learning domain-independent heuristics from scratch (ICAPS'20).
    • New insights and results for ASNets on JAIR.
    • ASNets: Learning generalized policies for SSPs using neural nets (AAAI'18).
    • h-pom, h-roc, and i2-dual won the best paper award at ICAPS'17!
    • i-dual won the best paper award at ICAPS'16!
  • Word cloud of my papers
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