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Collaborative Deep Reinforcement Learning

Collaborative Deep Reinforcement Learning

19 February 2017
Kaixiang Lin
Shu Wang
Jiayu Zhou
ArXivPDFHTML

Papers citing "Collaborative Deep Reinforcement Learning"

13 / 13 papers shown
Title
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement
  Learning
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Abhishek Gupta
Coline Devin
YuXuan Liu
Pieter Abbeel
Sergey Levine
53
268
0
08 Mar 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
43
1,225
0
16 Nov 2016
Playing FPS Games with Deep Reinforcement Learning
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample
Devendra Singh Chaplot
OffRL
EgoV
63
584
0
18 Sep 2016
Target-driven Visual Navigation in Indoor Scenes using Deep
  Reinforcement Learning
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu
Roozbeh Mottaghi
Eric Kolve
Joseph J. Lim
Abhinav Gupta
Li Fei-Fei
Ali Farhadi
VGen
54
1,516
0
16 Sep 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
166
8,805
0
04 Feb 2016
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
OffRL
63
594
0
19 Nov 2015
Policy Distillation
Policy Distillation
Andrei A. Rusu
Sergio Gomez Colmenarejo
Çağlar Gülçehre
Guillaume Desjardins
J. Kirkpatrick
Razvan Pascanu
Volodymyr Mnih
Koray Kavukcuoglu
R. Hadsell
53
687
0
19 Nov 2015
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
64
1,367
0
08 Oct 2015
Massively Parallel Methods for Deep Reinforcement Learning
Massively Parallel Methods for Deep Reinforcement Learning
Arun Nair
Praveen Srinivasan
Sam Blackwell
Cagdas Alcicek
Rory Fearon
...
Stig Petersen
Shane Legg
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
OffRL
AI4CE
GNN
74
504
0
15 Jul 2015
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
43
3,368
0
08 Jun 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
241
19,523
0
09 Mar 2015
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
78
2,992
0
19 Jul 2012
A Convex Formulation for Learning Task Relationships in Multi-Task
  Learning
A Convex Formulation for Learning Task Relationships in Multi-Task Learning
Yu Zhang
Dit-Yan Yeung
87
460
0
15 Mar 2012
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