Martin Klissarov

I am a PhD student supervised by Prof. Doina Precup and Prof. Marlos C. Machado at McGill University and Mila. I am particularly interested in scalable human-inspired approaches to intelligence.

Humans are able to continually adapt in diverse and creative ways, can AI agents do the same?

To answer this question, my research is currently centered on discovering and exploiting temporal structures existing within streams of data.

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News
Highlighted Research
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MaestroMotif: Skill Design from Artificial Intelligence Feedback
Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado*, Pierluca D'Oro*
International Conference on Learning Representations (ICLR), 2025, Oral

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On the Modeling Capabilities of Large Language Models in Sequential Decision Making
Martin Klissarov, Devon R. Hjelm, Alex Toshev, Bogdan Mazoure
International Conference on Learning Representations (ICLR), 2025

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Motif: Intrinsic Motivation from Artificial Intelligence Feedback
Martin Klissarov*, Pierluca D'Oro*, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang and Mikael Henaff
International Conference on Learning Representations (ICLR), 2024
FMDM Workshop at NeurIPS 2023, Spotlight
ALOE Workshop at NeurIPS 2023, Spotlight

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Deep Laplacian-Based Options for Temporally-Extended Exploration
Martin Klissarov and Marlos C. Machado
International Conference on Machine Learning (ICML), 2023

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Flexible Option Learning
Martin Klissarov and Doina Precup
Neural Information Processing Systems (NeurIPS), 2021, Spotlight

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When Waiting is not an Option: Learning Options using the Deliberation Cost

Jean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup
Association for the Advancement of Artificial Intelligence (AAAI), 2018

Education
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McGill University2020 - 2025
PhD in Computer Science
Supervisor: Prof. Doina Precup and Prof. Marlos C. Machado

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McGill University2018 - 2020
MSc in Computer Science
Supervisor: Prof. Doina Precup

Reviewing
  • TMLR: 2022 / 2023
  • NeurIPS: 2020 / 2021 (Outstanding reviewer) / 2022 (Top reviewer) / 2023 / 2024
  • ICML: 2021 / 2022 / 2023
  • AAAI: 2021 / 2022
  • ICLR: 2022 (Highlighted reviewer) / 2023 / 2024 / 2025
  • CoLLAs: 2022
Organisation Comittee
  • CoLLAs: 2022
Selected Awards
  • Natural Sciences and Engineering Research Council of Canada (NSERC) Alexander Graham Bell Canada Graduate Scholarship (2020-2023)
  • Fonds de Recherche du Québec - Nature et Technologie (FRQNT) Masters Research Scholarship (2018-2020)
  • McGill Graduate Excellence Award (2018-2020)
  • Ordre des Ingénieurs Foundation Excellence Scholarship (2016)

A special thanks to this template.