Lionel Blondé

Lionel Blonde Assistant HES, PhD student CS UNIGE


Lionel Blondé has been working as PhD student in the Data Mining and Machine Learning team since early 2015. Before, he completed his master degree in Applied Mathematics and Computer Science in the French engineering school ENSEEIHT, from 2011 to 2014.


Lionel is interested in training simulated agents to complete locomotion tasks, developing Reinforcement Learning and Imitation Learning algorithms. He is particularly interested in overcoming the deterring sample inefficiency of previous methods tackling similar problems.



Blondé, Lionel; Kalousis, Alexandros

Sample-Efficient Imitation Learning via Generative Adversarial Nets Journal Article

CoRR, abs/1809.02064 , 2018.

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