Nicolas Heess
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Nicolas Heess.
neural information processing systems | 2014
Volodymyr Mnih; Nicolas Heess; Alex Graves; Koray Kavukcuoglu
international conference on learning representations | 2016
Timothy P. Lillicrap; Jonathan J. Hunt; Alexander Pritzel; Nicolas Heess; Tom Erez; Yuval Tassa; David Silver; Daniël Pieter Wierstra
In: (pp. pp. 605-619). (2014) | 2014
David Silver; Guy Lever; Nicolas Heess; Thomas Degris; Daniël Pieter Wierstra; Martin A. Riedmiller
neural information processing systems | 2015
John Schulman; Nicolas Heess; Theophane Weber; Pieter Abbeel
neural information processing systems | 2016
S. M. Ali Eslami; Nicolas Heess; Theophane Weber; Yuval Tassa; David Szepesvari; Koray Kavukcuoglu; Geoffrey E. Hinton
neural information processing systems | 2015
Nicolas Heess; Greg Wayne; David Silver; Timothy P. Lillicrap; Yuval Tassa; Tom Erez
international conference on learning representations | 2017
Ziyu Wang; Victor Bapst; Nicolas Heess; Volodymyr Mnih; Rémi Munos; Koray Kavukcuoglu; Nando de Freitas
european workshop on reinforcement learning | 2012
Nicolas Heess; David Silver; Yee Whye Teh
international conference on machine learning | 2014
David Silver; Guy Lever; Nicolas Heess; Thomas Degris; Daan Wierstra; Martin A. Riedmiller
arXiv: Learning | 2018
Ivo Popov; Nicolas Heess; Timothy P. Lillicrap; Roland Hafner; Gabriel Barth-Maron; Matej Vecerik; Thomas Lampe; Tom Erez; Yuval Tassa; Martin A. Riedmiller
