Reproducibility in Deep Reinforcement Learning – Prof. Pineau – NIPS2017

Reproducibility in Deep Reinforcement Learning - Prof. Pineau - NIPS2017
Prof. Pineau presented her paper Reproducibility in Deep Learning and Reinforcement Learning at the 2017 conference on Neural Information Processing Systems.

Joelle Pineau is an associate professor of Computer Science at McGill University where she co-directs the Reasoning and Learning Lab.
Recorded: December 7th, 2017
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