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Mathieu Godbout
Publication Activity (10 Years)
Years Active: 2019-2022
Publications (10 Years): 4
Top Topics
State Space
Temporal Difference
Reinforcement Learning
Markov Decision Processes
Top Venues
CoRR
SafeAI@AAAI
LREC
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Publications
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Mathieu Godbout
,
Maxime Heuillet
,
Sharath Chandra Raparthy
,
Rupali Bhati
,
Audrey Durand
A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning.
SafeAI@AAAI
(2022)
Mathieu Godbout
,
Maxime Heuillet
,
Sharath Chandra
,
Rupali Bhati
,
Audrey Durand
CARL: Conditional-value-at-risk Adversarial Reinforcement Learning.
CoRR
(2021)
Nicolas Garneau
,
Mathieu Godbout
,
David Beauchemin
,
Audrey Durand
,
Luc Lamontagne
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well.
LREC
(2020)
Nicolas Garneau
,
Mathieu Godbout
,
David Beauchemin
,
Audrey Durand
,
Luc Lamontagne
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well.
CoRR
(2019)