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Deep Reinforcement Learning: An Overview

Deep Reinforcement Learning: An Overview

25 January 2017
Yuxi Li
    OffRL
    VLM
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning: An Overview"

50 / 418 papers shown
Title
Learning to infer: RL-based search for DNN primitive selection on
  Heterogeneous Embedded Systems
Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems
Miguel de Prado
Nuria Pazos
Luca Benini
29
12
0
18 Nov 2018
Deep Q learning for fooling neural networks
Deep Q learning for fooling neural networks
Mandar M. Kulkarni
11
0
0
13 Nov 2018
Modelling the Dynamic Joint Policy of Teammates with Attention
  Multi-agent DDPG
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG
Hangyu Mao
Zhengchao Zhang
Zhen Xiao
Zhibo Gong
12
84
0
13 Nov 2018
Distributed Cooperative Spectrum Sharing in UAV Networks Using
  Multi-Agent Reinforcement Learning
Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning
Alireza Shamsoshoara
M. Khaledi
Fatemeh Afghah
Abolfazl Razi
Jonathan D. Ashdown
18
72
0
13 Nov 2018
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational
  Pathfinder
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder
Junjie Zeng
C. Alberti
Yue Hu
Cong Hu
Quanjun Yin
14
4
0
05 Nov 2018
Stability-certified reinforcement learning: A control-theoretic
  perspective
Stability-certified reinforcement learning: A control-theoretic perspective
Ming Jin
Javad Lavaei
15
85
0
26 Oct 2018
Applications of Deep Reinforcement Learning in Communications and
  Networking: A Survey
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong
D. Hoang
Shimin Gong
Dusit Niyato
Ping Wang
Ying-Chang Liang
Dong In Kim
OffRL
23
1,422
0
18 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLM
OffRL
23
144
0
15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
19
549
0
12 Oct 2018
The Dreaming Variational Autoencoder for Reinforcement Learning
  Environments
The Dreaming Variational Autoencoder for Reinforcement Learning Environments
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
DRL
17
17
0
02 Oct 2018
AlphaSeq: Sequence Discovery with Deep Reinforcement Learning
AlphaSeq: Sequence Discovery with Deep Reinforcement Learning
Yulin Shao
Soung Chang Liew
Taotao Wang
AI4TS
11
14
0
26 Sep 2018
Application of Machine Learning in Wireless Networks: Key Techniques and
  Open Issues
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues
Yaohua Sun
M. Peng
Yangcheng Zhou
Yuzhe Huang
S. Mao
11
429
0
24 Sep 2018
Neural Approaches to Conversational AI
Neural Approaches to Conversational AI
Jianfeng Gao
Michel Galley
Lihong Li
32
668
0
21 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
14
55
0
10 Sep 2018
Adversarial Deep Reinforcement Learning in Portfolio Management
Adversarial Deep Reinforcement Learning in Portfolio Management
Zhipeng Liang
Hao Chen
Junhao Zhu
Kangkang Jiang
Yanran Li
11
33
0
29 Aug 2018
A Novel Deep Neural Network Architecture for Mars Visual Navigation
A Novel Deep Neural Network Architecture for Mars Visual Navigation
Jiang Zhang
Yuanqing Xia
Ganghui Shen
9
6
0
25 Aug 2018
LIFT: Reinforcement Learning in Computer Systems by Learning From
  Demonstrations
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
Michael Schaarschmidt
A. Kuhnle
Ben Ellis
Kai Fricke
Felix Gessert
Eiko Yoneki
OffRL
16
41
0
23 Aug 2018
Deep RTS: A Game Environment for Deep Reinforcement Learning in
  Real-Time Strategy Games
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
VLM
AI4CE
8
46
0
15 Aug 2018
Policy Optimization as Wasserstein Gradient Flows
Policy Optimization as Wasserstein Gradient Flows
Ruiyi Zhang
Changyou Chen
Chunyuan Li
Lawrence Carin
9
66
0
09 Aug 2018
Deep Reinforcement One-Shot Learning for Artificially Intelligent
  Classification Systems
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems
A. Puzanov
Kobi Cohen
VLM
11
19
0
04 Aug 2018
Recent Advances in Deep Learning: An Overview
Recent Advances in Deep Learning: An Overview
Matiur Rahman Minar
Jibon Naher
VLM
8
116
0
21 Jul 2018
Financial Trading as a Game: A Deep Reinforcement Learning Approach
Financial Trading as a Game: A Deep Reinforcement Learning Approach
Chien-Yi Huang
AIFin
11
71
0
08 Jul 2018
Deep Reinforcement Learning For Sequence to Sequence Models
Deep Reinforcement Learning For Sequence to Sequence Models
Yaser Keneshloo
Tian Shi
Naren Ramakrishnan
Chandan K. Reddy
AIMat
3DV
OffRL
14
208
0
24 May 2018
Spark-MPI: Approaching the Fifth Paradigm of Cognitive Applications
Spark-MPI: Approaching the Fifth Paradigm of Cognitive Applications
N. Malitsky
R. Castain
Matt Cowan
23
6
0
16 May 2018
Machine Learning in Compiler Optimisation
Machine Learning in Compiler Optimisation
Zheng Wang
Michael F. P. O'Boyle
VLM
9
77
0
09 May 2018
Towards Symbolic Reinforcement Learning with Common Sense
Towards Symbolic Reinforcement Learning with Common Sense
Artur Garcez
Aimore Dutra
E. Alonso
OffRL
10
29
0
23 Apr 2018
Rafiki: Machine Learning as an Analytics Service System
Rafiki: Machine Learning as an Analytics Service System
Wei Wang
Sheng Wang
Jinyang Gao
Meihui Zhang
Gang Chen
Teck Khim Ng
Beng Chin Ooi
14
110
0
17 Apr 2018
Feature-Based Aggregation and Deep Reinforcement Learning: A Survey and
  Some New Implementations
Feature-Based Aggregation and Deep Reinforcement Learning: A Survey and Some New Implementations
Dimitri Bertsekas
OffRL
17
130
0
12 Apr 2018
A clustering-based reinforcement learning approach for tailored
  personalization of e-Health interventions
A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions
Ali el Hassouni
Mark Hoogendoorn
M. V. Otterlo
A. E. Eiben
Vesa Muhonen
E. Barbaro
OffRL
17
20
0
10 Apr 2018
Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement
  Learning
Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning
Li He
Liang Wang
Kaipeng Liu
Bo Wu
Weinan Zhang
10
7
0
20 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
14
1,303
0
12 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
15
873
0
03 Mar 2018
Model-Based Stochastic Search for Large Scale Optimization of
  Multi-Agent UAV Swarms
Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms
David D. Fan
Evangelos Theodorou
J. Reeder
13
14
0
03 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
22
701
0
26 Feb 2018
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing
  Atari
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari
P. Chrabaszcz
I. Loshchilov
Frank Hutter
11
99
0
24 Feb 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked
  Agents
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
K. Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
18
581
0
23 Feb 2018
Bridging Cognitive Programs and Machine Learning
Bridging Cognitive Programs and Machine Learning
Amir Rosenfeld
John K. Tsotsos
HAI
20
1
0
16 Feb 2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Per-Arne Andersen
8
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
21
2
0
26 Jan 2018
Multi-timescale memory dynamics in a reinforcement learning network with
  attention-gated memory
Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory
M. Martinolli
W. Gerstner
Aditya Gilra
CLL
21
5
0
28 Dec 2017
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
11
44
0
20 Dec 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
243
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
17
640
0
10 Nov 2017
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of
  Robots by Deep Reinforcement Learning
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning
A. Kume
Eiichi Matsumoto
K. Takahashi
W. Ko
Jethro Tan
27
11
0
17 Oct 2017
Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on
  Rough Terrain Challenge
Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on Rough Terrain Challenge
Doo Re Song
Chuanyu Yang
C. McGreavy
Zhibin Li
16
29
0
08 Oct 2017
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through
  Multi-Sensory Semi-Supervised Learning
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning
Junhong Xu
Shangyue Zhu
Hanqing Guo
Shaoen Wu
SSL
16
3
0
22 Sep 2017
A Deep-Reinforcement Learning Approach for Software-Defined Networking
  Routing Optimization
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
Giorgio Stampa
M. Arias
David Sánchez-Charles
V. Muntés-Mulero
A. Cabellos-Aparicio
22
170
0
20 Sep 2017
Models and Framework for Adversarial Attacks on Complex Adaptive Systems
Models and Framework for Adversarial Attacks on Complex Adaptive Systems
Vahid Behzadan
Arslan Munir
AAML
24
4
0
13 Sep 2017
Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
24
206
0
25 Aug 2017
A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning
  algorithm to Solve Inventory Optimization Problems
A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems
Afshin Oroojlooyjadid
M. Nazari
L. Snyder
Martin Takáč
13
38
0
20 Aug 2017
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