Martin Klissarov
I am a first year PhD student supervised by Prof. Doina Precup at McGill University and Mila.
I am particularly interested devising sound and effective reinforcement learning algorithms. I have worked mostly on temporal abstractions, the exploitation/exploration dilemma and off-policy/batch RL methods.
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Reward Propagation using Graph Convolutional Networks
Martin Klissarov and Doina Precup
Neural Information Processing Systems (NeurIPS), 2020, Spotlight
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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
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Variational State Encoding
Martin Klissarov*, Riashat Islam*, Khimya Khetarpal, Doina Precup
The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2019
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Diffusion-Based Approximate Value Functions
Martin Klissarov, Doina Precup
International Conference on Machine Learning (ICML) Efficient Credit Assignemnt Workshop, 2018, Oral
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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
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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
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- 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)
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