Search Results for author: Manu Orsini

Found 6 papers, 2 papers with code

C3PO: Learning to Achieve Arbitrary Goals via Massively Entropic Pretraining

no code implementations7 Nov 2022 Alexis Jacq, Manu Orsini, Gabriel Dulac-Arnold, Olivier Pietquin, Matthieu Geist, Olivier Bachem

Given a particular embodiment, we propose a novel method (C3PO) that learns policies able to achieve any arbitrary position and pose.

What Matters for Adversarial Imitation Learning?

no code implementations NeurIPS 2021 Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz

To tackle this issue, we implement more than 50 of these choices in a generic adversarial imitation learning framework and investigate their impacts in a large-scale study (>500k trained agents) with both synthetic and human-generated demonstrations.

Continuous Control Imitation Learning

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