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1701.07274
Cited By
Deep Reinforcement Learning: An Overview
25 January 2017
Yuxi Li
OffRL
VLM
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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
Miguel de Prado
Nuria Pazos
Luca Benini
29
12
0
18 Nov 2018
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
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
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
Junjie Zeng
C. Alberti
Yue Hu
Cong Hu
Quanjun Yin
14
4
0
05 Nov 2018
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
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
Yuxi Li
VLM
OffRL
23
144
0
15 Oct 2018
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
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
DRL
17
17
0
02 Oct 2018
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
Yaohua Sun
M. Peng
Yangcheng Zhou
Yuzhe Huang
S. Mao
11
429
0
24 Sep 2018
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
Peter Wolf
Karl Kurzer
Tobias Wingert
Florian Kuhnt
Johann Marius Zöllner
14
55
0
10 Sep 2018
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
Jiang Zhang
Yuanqing Xia
Ganghui Shen
9
6
0
25 Aug 2018
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
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
VLM
AI4CE
8
46
0
15 Aug 2018
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
A. Puzanov
Kobi Cohen
VLM
11
19
0
04 Aug 2018
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
Chien-Yi Huang
AIFin
11
71
0
08 Jul 2018
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
N. Malitsky
R. Castain
Matt Cowan
23
6
0
16 May 2018
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
Artur Garcez
Aimore Dutra
E. Alonso
OffRL
10
29
0
23 Apr 2018
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
Dimitri Bertsekas
OffRL
17
130
0
12 Apr 2018
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
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
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
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
David D. Fan
Evangelos Theodorou
J. Reeder
13
14
0
03 Mar 2018
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
P. Chrabaszcz
I. Loshchilov
Frank Hutter
11
99
0
24 Feb 2018
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
Amir Rosenfeld
John K. Tsotsos
HAI
20
1
0
16 Feb 2018
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
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
M. Martinolli
W. Gerstner
Aditya Gilra
CLL
21
5
0
28 Dec 2017
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
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
243
890
0
11 Nov 2017
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
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
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
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
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
Vahid Behzadan
Arslan Munir
AAML
24
4
0
13 Sep 2017
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
Afshin Oroojlooyjadid
M. Nazari
L. Snyder
Martin Takáč
13
38
0
20 Aug 2017
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