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News
5th Bernstein Sparks Workshop: Neural models of decision making in...
www.nncn.de
Nicolas Heess (Google DeepMind) Mate Lengyel (University of Cambridge) Hendrikje Nienborg (University of Tuebingen) Andreas Tolias (BCM Houston) Dan Yamins (MIT)
5. Bernstein Sparks Workshop: Neural models of decision making in...
www.nncn.de
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 -...
www.developer-tech.com
Google’s DeepMind uses reinforcement learning to master parkour - Developer Tech News
Netzwerk-Profile
Deep-Reinforcement-Learning-Survey/Reinforcement-Learning-Papers.md...
github.com
My Exploration on Deep Reinforcement Learning Survey - Deep-Reinforcement-Learning-Survey/Reinforcement-Learning-Papers.md at master ·...
Nicolas Heess OER/OCW Courses and Video Lectures...
www.jobilize.com
Watch Nicolas Heess Video Lectures : Multimodal nonlinear filtering using Gauss-Hermite Quadrature OpenCourseWare Open Educational Resources ocw oer free
GitHub - wittawatj/kernel-ep: UAI Kernel-based just-in-time...
github.com
UAI Kernel-based just-in-time learning for expectation propagation - GitHub - wittawatj/kernel-ep: UAI Kernel-based just-in-time learning for...
Projekte
nheess / Profile
sourceforge.net
Nicolas Heess. User Activity. No activity to display. Personal Data. Username: nheess; Joined: :56:08. Projects. Project Logo ...
Bücher
Artificial Neural Networks and Machine Learning - ICANN 2011: 21st...
books.google.de
This two volume set LNCS and LNCS constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN...
Computer Vision – ECCV 2012: 12th European Conference on Computer...
books.google.se
The seven-volume set comprising LNCS volumes constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held...
Deep Learning for Medical Image Analysis - Google Books
books.google.de
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...
TensorFlow Reinforcement Learning Quick Start Guide: Get up and...
books.google.se
Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa,
David ...
Dokumente zum Namen
Learning Continuous Control Policies by Stochastic Value Gradients
www.slideshare.net
NIPS2015読み会（http://connpass.com/event ）発表資料
The Shape Boltzmann Machine S. M. Ali Eslami Nicolas Heess John Winn...
pdfslide.us
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...
www.pdfsearch.io
Deterministic Policy Gradient Algorithms David Silver DeepMind Technologies, London, UK Guy Lever University College London, UK Nicolas Heess, Thomas ...
[ ] Learning Continuous Control Policies by Stochastic Value...
arxiv.org
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 ...
Wissenschaftliche Veröffentlichungen
Search results for "Nicolas Heess" – FacetedDBLP
dblp.l3s.uni-hannover.de
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 ...
Veröffentlichungen allgemein
Weakly Supervised Learning of Foreground-Background Segmentation...
link.springer.com
Nicolas Heess (19); Nicolas Le Roux (20); John Winn (21). Author Affiliations IANC, University of Edinburgh, Edinburgh, UK; 20. Sierra Team, INRIA, Paris, ...
Learning and Transfer of Modulated Locomotor Controllers : Nicolas...
archive.org
We study a novel architecture and training procedure for locomotion tasks. A high-frequency, low-level spinal network with access to proprioceptive sensors...
Ali Eslami: Probabilistic models of object shapes : Free Download,...
archive.org
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...
Artikel & Meinungen
EWRL10 (2012) | European Workshops on Reinforcement Learning
ewrl.wordpress.com
Actor-Critic Reinforcement Learning with Energy-Based Policies: Nicolas Heess, David Silver, Yee Whye Teh ; JMLR W&C 24:43-58, [abs] · [pdf]. Directed ...
Sonstiges
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Ulf Knoblich und Nicolas Heess Intellegent Softwar .. hasn't shared anything on this page with you.
Boltzmann Machines and their Extensions S. M. Ali Eslami Nicolas...
slideplayer.com
What can one do with an ideal shape model? 3 Segmentation
Learning generative texture models with by Nicolas Heess...
www.jobilize.com
Video Lecture: Learning generative texture models with extended Fields-of-Experts by Nicolas Heess @VideoLectures.net ocw oer free Open Educational Resources...
The Shape Boltzmann Machine S. M. Ali Eslami Nicolas Heess John Winn...
slideplayer.com
Weizmann horse dataset 3 Sample training images 327 images
Nicolas Heess - University of Edinburgh - VideoLectures.NET
videolectures.net
author at Sessions, together with: Data & Web Mining Lab (produced by), 83
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Nicolas Heess Arşivleri - Derin Öğrenme | Deep Learning
www.derinogrenme.com
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
www.cvpapers.com
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 - Papers
www.cvpapers.com
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,
au:Heess_N in:stat - SciRate Search
scirate.com
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 ...
Deterministic Policy Gradient Algorithms - PDF Free Download
docplayer.net
David ilver DeepMind Technologies, London, UK Guy Lever University College London, UK Nicolas Heess, Thomas Degris, Daan Wierstra, Martin Riedmiller DeepMind ...
Learning CNN-LSTM Architectures for Image Caption Generation - PDF...
docplayer.net
CoRR, abs/ , [16] Volodymyr Mnih, Nicolas Heess, Alex Graves, and Koray Kavukcuoglu. Recurrent models of visual attention. CoRR, abs/ , [17] Kelvin Xu, ...
RSS Workshop | Are the Sceptics Right? Limits and Potentials of...
juxi.net
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, ...
Acknowledgements
www.imodel.org
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 ...
Abstract: Deep Reinforcement Learning Approach for Process Control...
aiche.confex.com
[3] Timothy P. Lillicrap , Jonathan J. Hunt , Alexander Pritzel, Nicolas Heess, Tom Erez,. Yuvalassa, David Silver & Daan Wierstra, ...
CiteSeerX — Actor-Critic Reinforcement Learning with Energy-Based...
citeseerx.ist.psu.edu
BibTeX. @MISC{Heess_actor-criticreinforcement, author = {Nicolas Heess and David Silver and Yee Whye Teh and Peter Deisenroth and Csaba Szepesvári ...
CSML Reading Group | Center for Statistics and Machine Learning
csml.princeton.edu
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...
Meta reinforcement learning as task inference
www.deepmind.com
Humans achieve efficient learning by relying on prior knowledge about the structure of naturally occurring tasks. There has been considerable interest in...
Publications - Raia Hadsell
raiahadsell.com
John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu
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