Felipe W. Trevizan

Senior Lecturer, School of Computing, ANU

Email:
Office:: 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 machine learning.

Selected Publications (full list here)

Leveraging Action Relational Structures for Integrated Learning and Planning. Wang, R. X. and Trevizan, F. In Proc. of 35th Int. Conf. on Automated Planning and Scheduling (ICAPS). 2025. [abs] [bib]
@inproceedings{wang25:partialspace, author = {Wang, R. X.* and Trevizan, F.}, title = {{L}everaging {A}ction {R}elational {S}tructures for {I}ntegrated {L}earning and {P}lanning}, booktitle = {Proc. of 35th Int. Conf. on Automated Planning and Scheduling (ICAPS)}, year = {2025}, url = {http://felipe.trevizan.org/camera-ready/wang25:partialspace.html}, }
Guiding GBFS through Learned Pairwise Rankings. Hao, M., Trevizan, F., Thiébaux, S., Ferber, P. and Hoffmann, J. In Proc. of 33rd Int. Joint Conf. on AI (IJCAI). 2024. [pdf] [bib] [code]
@inproceedings{hao24:ranking, author = {Hao, M.* and Trevizan, F. and Thi{\'e}baux, S. and Ferber, P. and Hoffmann, J.}, title = {{G}uiding {GBFS} through {L}earned {P}airwise {R}ankings}, booktitle = {Proc. of 33rd Int. Joint Conf. on AI (IJCAI)}, year = {2024}, url = {http://felipe.trevizan.org/papers/hao24:ranking.pdf}, }
Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning. Chen, D., Trevizan, F. and Thiébaux, S. In Proc. of 34th Int. Conf. on Automated Planning and Scheduling (ICAPS). 2024. [pdf] [bib]
@inproceedings{chen24:wlkernel, author = {Chen, D.* and Trevizan, F. and Thi{\'e}baux, S.}, title = {{R}eturn to {T}radition: {L}earning {R}eliable {H}euristics with {C}lassical {M}achine {L}earning}, booktitle = {Proc. of 34th Int. Conf. on Automated Planning and Scheduling (ICAPS)}, year = {2024}, url = {http://felipe.trevizan.org/papers/chen24:wlkernel.pdf}, }
Efficient Constraint Generation for Stochastic Shortest Path Problems. Schmalz, J. and Trevizan, F. In Proc. of 38th AAAI Conference on Artificial Intelligence. 2024. [pdf] [bib] [code]
@inproceedings{schmalz24:cgilao, author = {Schmalz, J.* and Trevizan, F.}, title = {{E}fficient {C}onstraint {G}eneration for {S}tochastic {S}hortest {P}ath {P}roblems}, booktitle = {Proc. of 38th AAAI Conference on Artificial Intelligence}, year = {2024}, url = {http://felipe.trevizan.org/papers/schmalz24:cgilao.pdf}, }
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]
@inproceedings{chen23:mossp, author = {Chen, D.* and Trevizan, F. and Thi{\'e}baux, S.}, title = {{H}euristic {S}earch for {M}ulti-{O}bjective {P}robabilistic {P}lanning}, booktitle = {Proc. of 37th AAAI Conference on Artificial Intelligence}, year = {2023}, url = {http://felipe.trevizan.org/papers/chen23:mossp.pdf}, }
ASNets: Deep Learning for Generalised Planning. Toyer, S., Thiébaux, S., Trevizan, F. and Xie, L. In Journal of Artificial Intelligence. 2020. [pdf] [bib] [code]
@article{toyer20:asnetJair, author = {Toyer, S.* and Thi{\'e}baux, S. and Trevizan, F. and Xie, L.}, title = {{ASN}ets: {D}eep {L}earning for {G}eneralised {P}lanning}, journal = {Journal of Artificial Intelligence}, volume = {68}, pages = {1--68}, year = {2020}, url = {http://felipe.trevizan.org/papers/toyer20:asnetJair.pdf}, }
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]
@inproceedings{trevizan17:hpom, author = {Trevizan, F. and Thi{\'e}baux, S. and Haslum, P.}, title = {{O}ccupation {M}easure {H}euristics for {P}robabilistic {P}lanning}, booktitle = {Proc. of 27th Int. Conf. on Automated Planning and Scheduling (ICAPS)}, year = {2017}, url = {http://felipe.trevizan.org/papers/trevizan17:hpom.pdf}, }
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]
@inproceedings{trevizan16:idual, author = {Trevizan, F. and Thi{\'e}baux, S. and Santana, P. and Williams, B.}, title = {{H}euristic {S}earch in {D}ual {S}pace for {C}onstrained {S}tochastic {S}hortest {P}ath {P}roblems}, booktitle = {Proc. of 26th Int. Conf. on Automated Planning and Scheduling (ICAPS)}, year = {2016}, url = {http://felipe.trevizan.org/papers/trevizan16:idual.pdf}, }

Teaching

Optimization (COMP4691/8691):
- 2024 course site
- 2023 wattle website
Structured Programming (COMP1110/6710):
- 2024 course site
Artificial Intelligence (COMP3620/6320):

News and Highlights
- Partial-Space Search: New search algorithm designed for learned heuristics (ICAPS'25).
- Optimal Ranking: Guiding GBFS using a ranking between states learned from data (IJCAI'24).
- i2-dual-det: New planner for finding deterministic policies for C-SSPs (ECAI'24).
- GOOSE: First domain-independent method for learning heuristics based on lifted representations (AAAI'24).
- CG-iLAO*: New planner for SSPs based on constraint generation (AAAI'24).
- I was one of the organizers of GenPlan23 at NeurIPS.
- First heuristic search algorithms for Multi-Objective Stochastic Planning (AAAI'23).
- New admissible heuristics for Multi-Objective Deterministic Planning (ICAPS'22).
- I gave an Early Career Researcher Spotlight talk at the IJCAI-20.
- ASNets: Learning generalized policies using neural nets (JAIR)