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Towards Cognitive Exploration through Deep Reinforcement Learning for
  Mobile Robots

Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots

6 October 2016
L. Tai
Ming-Yuan Liu
ArXivPDFHTML

Papers citing "Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots"

14 / 14 papers shown
Title
A Survey of Deep Network Solutions for Learning Control in Robotics:
  From Reinforcement to Imitation
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
L. Tai
Jingwei Zhang
Ming-Yuan Liu
Joschka Boedecker
Wolfram Burgard
OffRL
89
78
0
21 Dec 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
563
37,806
0
20 May 2016
Benchmarking Deep Reinforcement Learning for Continuous Control
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan
Xi Chen
Rein Houthooft
John Schulman
Pieter Abbeel
OffRL
76
1,693
0
22 Apr 2016
Continuous Deep Q-Learning with Model-based Acceleration
Continuous Deep Q-Learning with Model-based Acceleration
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
86
1,012
0
02 Mar 2016
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
88
3,749
0
20 Nov 2015
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion
  Control
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
Fangyi Zhang
Jurgen Leitner
Michael Milford
B. Upcroft
Peter Corke
64
274
0
12 Nov 2015
Model-based Reinforcement Learning with Parametrized Physical Models and
  Optimism-Driven Exploration
Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration
Christopher Xie
S. Patil
T. Moldovan
Sergey Levine
Pieter Abbeel
38
48
0
23 Sep 2015
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
300
13,214
0
09 Sep 2015
Deep Recurrent Q-Learning for Partially Observable MDPs
Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew J. Hausknecht
Peter Stone
104
1,677
0
23 Jul 2015
Convolutional Neural Network-Based Image Representation for Visual Loop
  Closure Detection
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection
Yi Hou
Hong Zhang
Shilin Zhou
58
167
0
20 Apr 2015
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
251
14,704
0
20 Jun 2014
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
114
12,201
0
19 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
486
15,861
0
12 Nov 2013
Deep Learning for Detecting Robotic Grasps
Deep Learning for Detecting Robotic Grasps
Ian Lenz
Honglak Lee
Ashutosh Saxena
98
1,640
0
16 Jan 2013
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