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Deep Reinforcement Learning with Double Q-learning

Deep Reinforcement Learning with Double Q-learning

22 September 2015
H. V. Hasselt
A. Guez
David Silver
    OffRL
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Papers citing "Deep Reinforcement Learning with Double Q-learning"

33 / 933 papers shown
Title
Learning Control for Air Hockey Striking using Deep Reinforcement
  Learning
Learning Control for Air Hockey Striking using Deep Reinforcement Learning
Ayal Taitler
N. Shimkin
23
10
0
26 Feb 2017
Online Meta-learning by Parallel Algorithm Competition
Online Meta-learning by Parallel Algorithm Competition
Stefan Elfwing
E. Uchibe
Kenji Doya
31
22
0
24 Feb 2017
Learning to Multi-Task by Active Sampling
Learning to Multi-Task by Active Sampling
Sahil Sharma
Ashutosh Jha
Parikshit Hegde
Balaraman Ravindran
21
21
0
20 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
23
65
0
31 Jan 2017
Learning Light Transport the Reinforced Way
Learning Light Transport the Reinforced Way
Ken Dahm
A. Keller
29
62
0
25 Jan 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
106
1,505
0
25 Jan 2017
Deep Reinforcement Learning with Successor Features for Navigation
  across Similar Environments
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
Jingwei Zhang
Jost Tobias Springenberg
Joschka Boedecker
Wolfram Burgard
22
294
0
16 Dec 2016
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
72
7,334
0
02 Dec 2016
Nonparametric General Reinforcement Learning
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
41
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
60
760
0
15 Nov 2016
Playing SNES in the Retro Learning Environment
Playing SNES in the Retro Learning Environment
Nadav Bhonker
Shai Rozenberg
Itay Hubara
26
19
0
07 Nov 2016
Combining policy gradient and Q-learning
Combining policy gradient and Q-learning
Brendan O'Donoghue
Rémi Munos
Koray Kavukcuoglu
Volodymyr Mnih
OffRL
OnRL
30
139
0
05 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
29
11
0
01 Nov 2016
Multi-Objective Deep Reinforcement Learning
Multi-Objective Deep Reinforcement Learning
Hossam Mossalam
Yannis Assael
D. Roijers
Shimon Whiteson
35
151
0
09 Oct 2016
Information-Theoretic Methods for Planning and Learning in Partially
  Observable Markov Decision Processes
Information-Theoretic Methods for Planning and Learning in Partially Observable Markov Decision Processes
Roy Fox
13
0
0
24 Sep 2016
Playing FPS Games with Deep Reinforcement Learning
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample
Devendra Singh Chaplot
OffRL
EgoV
39
583
0
18 Sep 2016
Interactive Spoken Content Retrieval by Deep Reinforcement Learning
Interactive Spoken Content Retrieval by Deep Reinforcement Learning
Yen-Chen Wu
Tzu-Hsiang Lin
Pei-Hung Chung
Hung-yi Lee
Tsung-Hsien Wen
19
12
0
16 Sep 2016
Episodic Exploration for Deep Deterministic Policies: An Application to
  StarCraft Micromanagement Tasks
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks
Nicolas Usunier
Gabriel Synnaeve
Zeming Lin
Soumith Chintala
30
138
0
10 Sep 2016
Reward Augmented Maximum Likelihood for Neural Structured Prediction
Reward Augmented Maximum Likelihood for Neural Structured Prediction
Mohammad Norouzi
Samy Bengio
Zhehuai Chen
Navdeep Jaitly
M. Schuster
Yonghui Wu
Dale Schuurmans
35
252
0
01 Sep 2016
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for
  Task-Oriented Dialogue Systems
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
Zachary Chase Lipton
Xiujun Li
Jianfeng Gao
Lihong Li
Faisal Ahmed
Li Deng
40
6
0
17 Aug 2016
Playing Atari Games with Deep Reinforcement Learning and Human
  Checkpoint Replay
Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay
Ionel-Alexandru Hosu
Traian Rebedea
29
97
0
18 Jul 2016
Towards End-to-End Learning for Dialog State Tracking and Management
  using Deep Reinforcement Learning
Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning
Tiancheng Zhao
M. Eskénazi
26
264
0
08 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
55
1,456
0
06 Jun 2016
Deep Reinforcement Learning Radio Control and Signal Detection with
  KeRLym, a Gym RL Agent
Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent
Tim O'Shea
T. Clancy
32
19
0
30 May 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler
Shahar Givony
Tom Zahavy
D. Mankowitz
Shie Mannor
CLL
36
377
0
25 Apr 2016
Learning values across many orders of magnitude
Learning values across many orders of magnitude
H. V. Hasselt
A. Guez
Matteo Hessel
Volodymyr Mnih
David Silver
22
169
0
24 Feb 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent
  Q-Networks
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
21
147
0
08 Feb 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
76
8,767
0
04 Feb 2016
Taming the Noise in Reinforcement Learning via Soft Updates
Taming the Noise in Reinforcement Learning via Soft Updates
Roy Fox
Ari Pakman
Naftali Tishby
11
335
0
28 Dec 2015
How to Discount Deep Reinforcement Learning: Towards New Dynamic
  Strategies
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies
Vincent François-Lavet
R. Fonteneau
D. Ernst
21
110
0
07 Dec 2015
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
29
3,727
0
20 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
22
681
0
19 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
129
3,763
0
18 Nov 2015
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