Tag Archives: Lionel Blonde

PhD Thesis defense of Lionel Blondé

Posted on 17.12.2021 by Grigorios Anagnostopoulos

Lionel Blondé will defend on Tuesday the 21st of December 2021 at 15:00 his PhD thesis entitled:  "Counterfactual Interactive Learning: Designing Proactive Artificial Agents that Learn from the Mistakes of other Decision Makers" Due to the health measures currently in … Continue reading →

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Best student paper award by Joao Ramos in ECML/PKDD 2021

Posted on 10.9.2021 by Grigorios Anagnostopoulos

It is our pleasure to announce that Joao Ramos received the best student data mining paper award in ECML/PKDD 2021 for the work he did in modelling pathological gait to eventually support treatment planning. Joao's work takes place in the … Continue reading →

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Lionel Blonde in AISTATS

Posted on 17.4.2019 by Magda Gregorová

AISTATS 2019 is well under way and Lionel Blonde is there to present his work on Sample-Efficient Imitation Learning via Generative Adversarial Nets. You can check his poster Th79 at the poster session tomorrow (Thursday, April 18, 13h30-16h30). He will be happy to explain how he improves upon GAIL by reducing the sample complexity by orders of magnitude. Go and speak to him!

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