Research Papers

InstaDeep researchers contribute to the Masakhane project and paper

I. Orife | J. Kreutzer | B. Sibanda | D. Whitenack | K. Siminyu | L. Martinus | J. T. Ali | J. Abbott | V. Marivate | S. Kabongo | M. Meressa | E. Murhabazi | O. Ahia | E. van Biljon | A. Ramkilowan | A. Akinfaderin | A. Öktem | W. Akin | G. Kioko | K. Degila | H. Kamper | B. Dossou | C. Emezue | K. Ogueji | A. Bashir

ICLR Mar 2020

Towards Compositionality in Deep Reinforcement Learning

T. Pierrot | G. Ligner | S. Reed | O. Sigaud | N. Perrin | A. Laterre | D. Kas | K. Beguir | N. de Freitas

Jun 2019

Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization

A. Laterre | Y. Fu | M. K. Jabri | A-S. Cohen | D. Kas | K. Hajjar | T. S. Dahl | A. Kerkeni | K. Beguir

NeurIPS Dec 2018

Explicit Sequence Proximity Models for Hidden State Identification

Anil Kota | Sharath Chandra | Parag Khanna | Torbjørn S. Dahl

NeurIPS Dec 2018