Martin Klissarov

I am a Masters student supervised by Prof. Doina Precup at McGill University and Mila.

I am particularly interested in the theoretical foundations of reinforcement learning. I have worked mostly on temporal abstractions, exploration and off-policy learning.

Email | Google Scholar | LinkedIn | Twitter

Research

	Options of Interest: Temporal Abstraction with Interest Functions Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup Association for the Advancement of Artificial Intelligence (AAAI), 2020 webpage \| pdf \| bibtex \| code
	Variational State Encoding Martin Klissarov, Riashat Islam, Khimya Khetarpal, Doina Precup The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2019 pdf
	Diffusion-Based Approximate Value Functions Martin Klissarov, Doina Precup International Conference on Machine Learning (ICML) Efficient Credit Assignemnt Workshop, 2018 pdf \| bibtex
	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 pdf \| bibtex \| code
	Learning Options End-to-End for Continuous Action Tasks Martin Klissarov, Pierre-Luc Bacon, Jean Harb, Doina Precup Neural Information Processing Systems (NIPS) Hierarchichal Reinforcement Learning Workshop, 2017 pdf \| bibtex \| code

Education

	McGill University2018 - Present MSc in Computer Science Supervisor: Prof. Doina Precup
	Polytechnique Montréal2014 - 2017 BEng in Electrical Engineering Supervisor: Prof. Christophe Caloz

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.