103 Infos zu Nicolas Heess

3 Aktuelle Nachrichten

Nicolas Heess (Google DeepMind) Mate Lengyel (University of Cambridge) Hendrikje Nienborg (University of Tuebingen) Andreas Tolias (BCM Houston) Dan Yamins (MIT)

Wieland Brendel (University of Tuebingen) David Cox (Harvard University) Jaime de la Rocha (Barcelona) Nicolas Heess (Google DeepMind)

Google’s DeepMind uses reinforcement learning to master parkour - Developer Tech News

5 Profile in Sozialen Netzwerken

My Exploration on Deep Reinforcement Learning Survey - Deep-Reinforcement-Learning-Survey/Reinforcement-Learning-Papers.md at master ·...

Watch Nicolas Heess Video Lectures : Multimodal nonlinear filtering using Gauss-Hermite Quadrature OpenCourseWare Open Educational Resources ocw oer free

UAI Kernel-based just-in-time learning for expectation propagation - GitHub - wittawatj/kernel-ep: UAI Kernel-based just-in-time learning for...

1 Projekte

Nicolas Heess. User Activity. No activity to display. Personal Data. Username: nheess; Joined: :56:08. Projects. Project Logo ...

5 Bücher zum Namen

This two volume set LNCS and LNCS constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN...

The seven-volume set comprising LNCS volumes constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held...

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear...

Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David ...

13 Dokumente

NIPS2015読み会（http://connpass.com/event ）発表資料

PowerPoint Presentation The Shape Boltzmann Machine S. M. Ali Eslami Nicolas Heess John Winn CVPR Providence, Rhode Island A Strong Model of Object Shape...

Deterministic Policy Gradient Algorithms David Silver DeepMind Technologies, London, UK Guy Lever University College London, UK Nicolas Heess, Thomas ...

Authors: Nicolas Heess, Greg Wayne, David Silver, Timothy Lillicrap, Yuval Tassa, Tom Erez. (Submitted on 30 Oct 2015). Abstract: We present a unified framework for learning continuous control policies using backpropagation. It supports stochastic control by treating stochasticity in the Bellman equation as a deterministic ...

8 Wissenschaftliche Publikationen

List of computer science publications by Nicolas Heess

Found 28 publication records. Showing 27 according to the selection in the facets . Hits ? Authors Title Venue Year Link Author keywords; 1: Danilo Jimenez Rezende, S ...

List of computer science publications by Daniel Horgan

List of computer science publications by Max Jaderberg

5 Allgemeine Veröffentlichungen

Nicolas Heess (19); Nicolas Le Roux (20); John Winn (21). Author Affiliations IANC, University of Edinburgh, Edinburgh, UK; 20. Sierra Team, INRIA, Paris, ...

We study a novel architecture and training procedure for locomotion tasks. A high-frequency, low-level spinal network with access to proprioceptive sensors...

machine learning researcher

Talk by Ali Eslami, Univ of Edinburgh. Given at the Redwood Center for Theoretical Neuroscience, at UC Berkeley. Abstract. We address the question of how to...

1 Meinungen & Artikel

Actor-Critic Reinforcement Learning with Energy-Based Policies: Nicolas Heess, David Silver, Yee Whye Teh ; JMLR W&C 24:43-58, [abs] · [pdf]. Directed ...

60 Webfunde aus dem Netz

Ulf Knoblich und Nicolas Heess Intellegent Softwar .. hasn't shared anything on this page with you.

What can one do with an ideal shape model? 3 Segmentation

Video Lecture: Learning generative texture models with extended Fields-of-Experts by Nicolas Heess @VideoLectures.net ocw oer free Open Educational Resources...

Weizmann horse dataset 3 Sample training images 327 images

author at Sessions, together with: Data & Web Mining Lab (produced by), 83 views.

In a variety of problems originating in supervised, unsupervised, and reinforcement learning, the loss function is defined by an expectation over a collection of random variables, which might be part of a probabilistic model or the external world. Estimating the gradient of this loss function, using samples, lies ...

CVPR Computer Vision papers on the web - Changelog Home CVPR page Forum RSS Twitter S. M. Ali Eslami, Nicolas Heess, John Winn; April 6,

CVPR papers on the web Home Changelog Forum RSS Twitter S. M. Ali Eslami, Nicolas Heess, John Winn Query Sensitive Binary Code Ranking Xiao Zhang,

We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain. We present an actor-critic, model-free algorithm based on the ...

David ilver DeepMind Technologies, London, UK Guy Lever University College London, UK Nicolas Heess, Thomas Degris, Daan Wierstra, Martin Riedmiller DeepMind ...

CoRR, abs/ , [16] Volodymyr Mnih, Nicolas Heess, Alex Graves, and Koray Kavukcuoglu. Recurrent models of visual attention. CoRR, abs/ , [17] Kelvin Xu, ...

Limits and Potentials of Deep Learning in Robotics. Call for Papers Ann Arbor, MI, U.S.A S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, ...

Wyeth Bair Pamela Baker James Bennett Hannah Choi Nicolas Heess Sara Ho Mengfei Huang Peter Keating Douglas McLelland. Tim Oleskiw Anitha Pasupathy Valeria Petkova Dina Popovkina Dean Pospisil Matthew Smith Ruben van Bergen. The following grants have supported the development of models, visual ...

[3] Timothy P. Lillicrap , Jonathan J. Hunt , Alexander Pritzel, Nicolas Heess, Tom Erez,. Yuvalassa, David Silver & Daan Wierstra, ...

description ...

BibTeX. @MISC{Heess_actor-criticreinforcement, author = {Nicolas Heess and David Silver and Yee Whye Teh and Peter Deisenroth and Csaba Szepesvári ...

The Princeton CSML Reading Group is a journal club that meets weekly on Thursdays at 2:30–4pm in 26 Prospect. The purpose of this group is to systematically...

ICLR Website

Humans achieve efficient learning by relying on prior knowledge about the structure of naturally occurring tasks. There has been considerable interest in...

John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu