Leonard Hasenclever
发表
H. Francis Song,
Sandy H. Huang,
Martina Zambelli,
2020,
ICML.
R. Hadsell,
N. Heess,
J. Merel,
2020,
International Conference on Machine Learning.
Leonard Hasenclever,
K. Zygalakis,
S. Vollmer,
2017,
1706.02692.
Yee Whye Teh,
Razvan Pascanu,
Wojciech Czarnecki,
2019,
ICLR.
Yee Whye Teh,
Nicolas Heess,
Alexandre Galashov,
2018,
ICLR.
Jakub M. Tomczak,
Rianne van den Berg,
Leonard Hasenclever,
2017
.
Max Welling,
Jakub M. Tomczak,
Leonard Hasenclever,
2018,
UAI.
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server
pdf
Yee Whye Teh,
Thibaut Lienart,
Charles Blundell,
2015,
J. Mach. Learn. Res..
Jessica B. Hamrick,
John Aslanides,
Leonard Hasenclever,
2020,
ArXiv.
N. Heess,
Y. Teh,
Leonard Hasenclever,
2020,
2009.04875.
N. Heess,
Greg Wayne,
T. Erez,
2019
.
Siddhant M. Jayakumar,
Wojciech M. Czarnecki,
Max Jaderberg,
2018
.
Yuval Tassa,
Guy Lever,
Thore Graepel,
2021,
Sci. Robotics.
Leonard Hasenclever,
A. Shankland,
2011
.
Leonard Hasenclever,
K. Zygalakis,
S. Vollmer,
2017,
1706.02692.
Leonard Hasenclever,
J. Hein,
W. Hordijk,
2014,
Natural Computing.
N. Heess,
Leonard Hasenclever,
Tuomas Haarnoja,
2022,
2023 IEEE International Conference on Robotics and Automation (ICRA).
Yee Whye Teh,
Razvan Pascanu,
Max Jaderberg,
2018,
ICML.
Yuval Tassa,
Nicolas Heess,
Tom Erez,
2019,
ArXiv.
R. Hadsell,
N. Heess,
Yuval Tassa,
2022,
ArXiv.
R. Hadsell,
N. Heess,
J. Merel,
2021,
ICLR.
Yuval Tassa,
Alessandro Davide Ialongo,
Martin A. Riedmiller,
2021,
ICLR.
Yee Whye Teh,
Razvan Pascanu,
Hyeonwoo Noh,
2020,
J. Mach. Learn. Res..
Yee Whye Teh,
Razvan Pascanu,
Hyeonwoo Noh,
2019,
ArXiv.
Yuval Tassa,
Gabriel Dulac-Arnold,
Nicolas Heess,
2021,
ArXiv.
Yee Whye Teh,
Nicolas Heess,
Alexandre Galashov,
2019,
ArXiv.
Sandy H. Huang,
R. Hadsell,
N. Heess,
2023,
Science Robotics.
Leonard Hasenclever,
K. Kowal,
M. Worster,
2013,
Journal of Fluid Mechanics.
Yee Whye Teh,
Xiaoyu Lu,
Leonard Hasenclever,
2016,
AISTATS.
Martin A. Riedmiller,
N. Heess,
Leonard Hasenclever,
2023,
ArXiv.
Raia Hadsell,
Leonard Hasenclever,
Nicolas Heess,
2020,
ICML.
Martin A. Riedmiller,
N. Heess,
A. Abdolmaleki,
2023,
ArXiv.
Montse Gonzalez Arenas,
N. Heess,
T. Erez,
2023,
2306.08647.
Montse Gonzalez Arenas,
N. Heess,
T. Erez,
2023,
CoRL.
Yuval Tassa,
Tom Erez,
Leonard Hasenclever,
2020,
ACM Trans. Graph..
Martin A. Riedmiller,
Norman Di Palo,
N. Heess,
2023,
ArXiv.
Yee Whye Teh,
Alexandre Galashov,
Leonard Hasenclever,
2020,
ArXiv.
Martin A. Riedmiller,
N. Heess,
Leonard Hasenclever,
2023,
ArXiv.
N. Heess,
Dhruva Tirumala,
Markus Wulfmeier,
2023,
ArXiv.
Steven Bohez,
Philemon Brakel,
Nicolas Heess,
2021,
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Montse Gonzalez Arenas,
Vincent Vanhoucke,
N. Heess,
2024,
arXiv.org.