Search Results for author: Raphael Lopez Kaufman

Found 2 papers, 1 papers with code

Stabilizing Transformers for Reinforcement Learning

5 code implementations ICML 2020 Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant M. Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell

Harnessing the transformer's ability to process long time horizons of information could provide a similar performance boost in partially observable reinforcement learning (RL) domains, but the large-scale transformers used in NLP have yet to be successfully applied to the RL setting.

General Reinforcement Learning Language Modelling +4

Democratizing online controlled experiments at Booking.com

no code implementations23 Oct 2017 Raphael Lopez Kaufman, Jegar Pitchforth, Lukas Vermeer

There is an extensive literature about online controlled experiments, both on the statistical methods available to analyze experiment results as well as on the infrastructure built by several large scale Internet companies but also on the organizational challenges of embracing online experiments to inform product development.

Human-Computer Interaction

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