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Dueling Network Architectures for Deep Reinforcement Learning

Dueling Network Architectures for Deep Reinforcement Learning

20 November 2015
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
    OffRL
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Papers citing "Dueling Network Architectures for Deep Reinforcement Learning"

50 / 358 papers shown
Title
Factorized Q-Learning for Large-Scale Multi-Agent Systems
Factorized Q-Learning for Large-Scale Multi-Agent Systems
M. Zhou
Yong Chen
Ying Wen
Yaodong Yang
Yufeng Su
Weinan Zhang
Dell Zhang
Jun Wang
AI4CE
16
68
0
11 Sep 2018
ViZDoom Competitions: Playing Doom from Pixels
ViZDoom Competitions: Playing Doom from Pixels
Marek Wydmuch
Michal Kempka
Wojciech Ja'skowski
24
119
0
10 Sep 2018
Adaptive Behavior Generation for Autonomous Driving using Deep
  Reinforcement Learning with Compact Semantic States
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States
Peter Wolf
Karl Kurzer
Tobias Wingert
Florian Kuhnt
Johann Marius Zöllner
27
55
0
10 Sep 2018
RUDDER: Return Decomposition for Delayed Rewards
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina
Michael Gillhofer
Michael Widrich
Thomas Unterthiner
Johannes Brandstetter
Sepp Hochreiter
22
212
0
20 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning
Randomized Prior Functions for Deep Reinforcement Learning
Ian Osband
John Aslanides
Albin Cassirer
UQCV
BDL
12
373
0
08 Jun 2018
Re-evaluating Evaluation
Re-evaluating Evaluation
David Balduzzi
K. Tuyls
Julien Perolat
T. Graepel
MoMe
16
96
0
07 Jun 2018
Sample-Efficient Deep Reinforcement Learning via Episodic Backward
  Update
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update
Su Young Lee
Sung-Ik Choi
Sae-Young Chung
BDL
13
73
0
31 May 2018
Constrained Policy Improvement for Safe and Efficient Reinforcement
  Learning
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning
Elad Sarafian
Aviv Tamar
Sarit Kraus
OffRL
22
11
0
20 May 2018
Episodic Memory Deep Q-Networks
Episodic Memory Deep Q-Networks
Zichuan Lin
Tianqi Zhao
Guangwen Yang
Lintao Zhang
OffRL
14
85
0
19 May 2018
Graph Signal Sampling via Reinforcement Learning
Graph Signal Sampling via Reinforcement Learning
Oleksii Abramenko
A. Jung
16
5
0
15 May 2018
Internet of Things Meets Brain-Computer Interface: A Unified Deep
  Learning Framework for Enabling Human-Thing Cognitive Interactivity
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
Xiang Zhang
Lina Yao
Shuai Zhang
S. Kanhere
Michael Sheng
Yunhao Liu
8
77
0
01 May 2018
Multi-modality Sensor Data Classification with Selective Attention
Multi-modality Sensor Data Classification with Selective Attention
Xiang Zhang
Lina Yao
Chaoran Huang
Sen Wang
Mingkui Tan
Guodong Long
Can Wang
13
37
0
16 Apr 2018
Deep Reinforcement Learning for Traffic Light Control in Vehicular
  Networks
Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks
Xiaoyuan Liang
Xunsheng Du
Guiling Wang
Zhu Han
16
409
0
29 Mar 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
17
2,213
0
08 Mar 2018
Learning to Sequence Robot Behaviors for Visual Navigation
Learning to Sequence Robot Behaviors for Visual Navigation
Hadi Salman
Puneet Singhal
Tanmay Shankar
Peng Yin
A. Salman
William Paivine
Guillaume Sartoretti
Matthew Travers
Howie Choset
15
8
0
05 Mar 2018
Distributed Prioritized Experience Replay
Distributed Prioritized Experience Replay
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
31
731
0
02 Mar 2018
Structured Control Nets for Deep Reinforcement Learning
Structured Control Nets for Deep Reinforcement Learning
Mario Srouji
Jian Zhang
Ruslan Salakhutdinov
26
43
0
22 Feb 2018
Precision medicine as a control problem: Using simulation and deep
  reinforcement learning to discover adaptive, personalized multi-cytokine
  therapy for sepsis
Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis
Brenden K. Petersen
Jiachen Yang
Will Grathwohl
Chase Cockrell
Claudio P. Santiago
G. An
D. Faissol
AI4CE
13
26
0
08 Feb 2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Per-Arne Andersen
18
16
0
29 Jan 2018
FlashRL: A Reinforcement Learning Platform for Flash Games
FlashRL: A Reinforcement Learning Platform for Flash Games
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
VLM
29
2
0
26 Jan 2018
Experience-driven Networking: A Deep Reinforcement Learning based
  Approach
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Zhiyuan Xu
Jian Tang
Jingsong Meng
Weiyi Zhang
Yanzhi Wang
C. Liu
Dejun Yang
OffRL
25
358
0
17 Jan 2018
Deep In-GPU Experience Replay
Deep In-GPU Experience Replay
Ben Parr
OffRL
VLM
9
2
0
09 Jan 2018
Revisiting the Master-Slave Architecture in Multi-Agent Deep
  Reinforcement Learning
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning
Xiangyu Kong
Bo Xin
Fangchen Liu
Yizhou Wang
18
44
0
20 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative
  for Training Deep Neural Networks for Reinforcement Learning
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
F. Such
Vashisht Madhavan
Edoardo Conti
Joel Lehman
Kenneth O. Stanley
Jeff Clune
22
685
0
18 Dec 2017
Deep Reinforcement Learning Boosted by External Knowledge
Deep Reinforcement Learning Boosted by External Knowledge
Nicolas Bougie
R. Ichise
OffRL
25
15
0
12 Dec 2017
Learning Robust Dialog Policies in Noisy Environments
Learning Robust Dialog Policies in Noisy Environments
Maryam Fazel-Zarandi
Shang-Wen Li
Jin Cao
Jared Casale
Peter Henderson
David Whitney
A. Geramifard
38
24
0
11 Dec 2017
Variational Deep Q Network
Variational Deep Q Network
Yunhao Tang
A. Kucukelbir
BDL
17
10
0
30 Nov 2017
Action Branching Architectures for Deep Reinforcement Learning
Action Branching Architectures for Deep Reinforcement Learning
Arash Tavakoli
Fabio Pardo
Petar Kormushev
14
256
0
24 Nov 2017
Teaching a Machine to Read Maps with Deep Reinforcement Learning
Teaching a Machine to Read Maps with Deep Reinforcement Learning
Gino Brunner
Oliver Richter
Yuyi Wang
Roger Wattenhofer
3DV
19
52
0
20 Nov 2017
Data-driven Planning via Imitation Learning
Data-driven Planning via Imitation Learning
Sanjiban Choudhury
M. Bhardwaj
S. Arora
Ashish Kapoor
G. Ranade
S. Scherer
Debadeepta Dey
41
80
0
17 Nov 2017
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
Applications of Deep Learning and Reinforcement Learning to Biological
  Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
M. S. M. Mahmud
M. S. Kaiser
Amir Hussain
S. Vassanelli
OffRL
AI4CE
39
641
0
10 Nov 2017
Predicting Head Movement in Panoramic Video: A Deep Reinforcement
  Learning Approach
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach
Yuhang Song
Mai Xu
Jianyi Wang
Minglang Qiao
Liangyu Huo
Zulin Wang
29
205
0
30 Oct 2017
Deep Reinforcement Learning with Surrogate Agent-Environment Interface
Deep Reinforcement Learning with Surrogate Agent-Environment Interface
Songli Wang
Yutao Jing
15
1
0
12 Sep 2017
Scalable trust-region method for deep reinforcement learning using
  Kronecker-factored approximation
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu
Elman Mansimov
Shun Liao
Roger C. Grosse
Jimmy Ba
OffRL
20
622
0
17 Aug 2017
An Information-Theoretic Optimality Principle for Deep Reinforcement
  Learning
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning
Felix Leibfried
Jordi Grau-Moya
Haitham Bou-Ammar
19
24
0
06 Aug 2017
Count-Based Exploration in Feature Space for Reinforcement Learning
Count-Based Exploration in Feature Space for Reinforcement Learning
Jarryd Martin
S. N. Sasikumar
Tom Everitt
Marcus Hutter
19
122
0
25 Jun 2017
Dex: Incremental Learning for Complex Environments in Deep Reinforcement
  Learning
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning
Nick Erickson
Qi Zhao
CLL
OffRL
119
2
0
19 Jun 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning
Value-Decomposition Networks For Cooperative Multi-Agent Learning
P. Sunehag
Guy Lever
A. Gruslys
Wojciech M. Czarnecki
V. Zambaldi
...
Marc Lanctot
Nicolas Sonnerat
Joel Z. Leibo
K. Tuyls
T. Graepel
14
980
0
16 Jun 2017
Navigating Occluded Intersections with Autonomous Vehicles using Deep
  Reinforcement Learning
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning
David Isele
Reza Rahimi
Akansel Cosgun
K. Subramanian
K. Fujimura
18
137
0
02 May 2017
Equivalence Between Policy Gradients and Soft Q-Learning
Equivalence Between Policy Gradients and Soft Q-Learning
John Schulman
Xi Chen
Pieter Abbeel
OffRL
24
339
0
21 Apr 2017
The Reactor: A fast and sample-efficient Actor-Critic agent for
  Reinforcement Learning
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
A. Gruslys
Will Dabney
M. G. Azar
Bilal Piot
Marc G. Bellemare
Rémi Munos
11
57
0
15 Apr 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Joshua Achiam
S. Shankar Sastry
18
235
0
06 Mar 2017
Active One-shot Learning
Active One-shot Learning
Mark P. Woodward
Chelsea Finn
VLM
OffRL
8
130
0
21 Feb 2017
Deep Reinforcement Learning for Robotic Manipulation-The state of the
  art
Deep Reinforcement Learning for Robotic Manipulation-The state of the art
S. Amarjyoti
16
65
0
31 Jan 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
Shehroze Bhatti
Alban Desmaison
O. Mikšík
Nantas Nardelli
N. Siddharth
Philip H. S. Torr
OffRL
27
69
0
01 Dec 2016
Nonparametric General Reinforcement Learning
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
27
26
0
28 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
26
758
0
15 Nov 2016
Learning to Act by Predicting the Future
Learning to Act by Predicting the Future
Alexey Dosovitskiy
V. Koltun
27
280
0
06 Nov 2016
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