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Convolutional Neural Networks For Automatic State-Time Feature
  Extraction in Reinforcement Learning Applied to Residential Load Control

Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control

28 April 2016
Bert Claessens
Peter Vrancx
F. Ruelens
ArXivPDFHTML

Papers citing "Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control"

7 / 7 papers shown
Title
Multimodal Deep Learning
Multimodal Deep Learning
Cem Akkus
Jiquan Ngiam
Vladana Djakovic
Steffen Jauch-Walser
A. Khosla
...
Jann Goschenhofer
Honglak Lee
A. Ng
Daniel Schalk
Matthias Aßenmacher
69
3,161
0
12 Jan 2023
Model-Free Control of Thermostatically Controlled Loads Connected to a
  District Heating Network
Model-Free Control of Thermostatically Controlled Loads Connected to a District Heating Network
Bert Claessens
D. Vanhoudt
J. Desmedt
F. Ruelens
AI4CE
28
64
0
27 Jan 2017
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
225
13,174
0
09 Sep 2015
Experimental analysis of data-driven control for a building heating
  system
Experimental analysis of data-driven control for a building heating system
G. Costanzo
Sandro Iacovella
F. Ruelens
T. Leurs
Bert Claessens
27
117
0
13 Jul 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
244
3,418
0
02 Apr 2015
Equilibrated adaptive learning rates for non-convex optimization
Equilibrated adaptive learning rates for non-convex optimization
Yann N. Dauphin
H. D. Vries
Yoshua Bengio
ODL
43
377
0
15 Feb 2015
Optimal Demand Response Using Device Based Reinforcement Learning
Optimal Demand Response Using Device Based Reinforcement Learning
Zheng Wen
D. OÑeill
H. Maei
OffRL
44
233
0
08 Jan 2014
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