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Deep Reinforcement Learning: An Overview
v1v2v3v4v5v6 (latest)

Deep Reinforcement Learning: An Overview

25 January 2017
Yuxi Li
    OffRLVLM
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning: An Overview"

50 / 417 papers shown
Title
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement
  Learning for Autonomous Driving
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving
Meixin Zhu
Yinhai Wang
Ziyuan Pu
Jingyun Hu
X. Wang
Ruimin Ke
89
335
0
29 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement
  Learning through Memory-driven Communication
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication
E. Pesce
Giovanni Montana
76
72
0
12 Jan 2019
Human-Like Autonomous Car-Following Model with Deep Reinforcement
  Learning
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning
Meixin Zhu
X. Wang
Yinhai Wang
84
411
0
03 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of
  Challenges, Solutions and Applications
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
136
794
0
31 Dec 2018
AME Blockchain: An Architecture Design for Closed-Loop Fluid Economy
  Token System
AME Blockchain: An Architecture Design for Closed-Loop Fluid Economy Token System
Lanny Z. N. Yuan
Huaibing Jian
Peng Liu
Pengxin Zhu
ShanYang Fu
23
0
0
18 Dec 2018
Deep neural networks algorithms for stochastic control problems on
  finite horizon: convergence analysis
Deep neural networks algorithms for stochastic control problems on finite horizon: convergence analysis
Côme Huré
H. Pham
Achref Bachouch
N. Langrené
69
67
0
11 Dec 2018
Distilling Information from a Flood: A Possibility for the Use of
  Meta-Analysis and Systematic Review in Machine Learning Research
Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research
Peter Henderson
Emma Brunskill
AI4CE
60
3
0
03 Dec 2018
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov
  Decision Processes with Near-Optimal Sample Complexity
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity
Yibo Zeng
Fei Feng
W. Yin
56
3
0
03 Dec 2018
A Study on Dialogue Reward Prediction for Open-Ended Conversational
  Agents
A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents
Heriberto Cuayáhuitl
Seonghan Ryu
Donghyeon Lee
J. Kim
62
6
0
02 Dec 2018
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep
  RL
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL
Bilal Kartal
Pablo Hernandez-Leal
Matthew E. Taylor
OffRL
122
9
0
30 Nov 2018
Distributed traffic light control at uncoupled intersections with
  real-world topology by deep reinforcement learning
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning
Mark Schutera
Niklas Goby
S. Smolarek
Markus Reischl
30
7
0
27 Nov 2018
A Novel Learning-based Global Path Planning Algorithm for Planetary
  Rovers
A Novel Learning-based Global Path Planning Algorithm for Planetary Rovers
Jiang Zhang
Yuanqing Xia
Ganghui Shen
36
36
0
23 Nov 2018
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
63
12
0
18 Nov 2018
Deep Q learning for fooling neural networks
Deep Q learning for fooling neural networks
Mandar M. Kulkarni
39
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
77
85
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
73
74
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
26
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
57
87
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
92
1,445
0
18 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
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
119
569
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
41
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
35
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
87
436
0
24 Sep 2018
Neural Approaches to Conversational AI
Neural Approaches to Conversational AI
Jianfeng Gao
Michel Galley
Lihong Li
169
677
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
58
56
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
79
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
34
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
53
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
VLMAI4CE
56
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
83
68
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
43
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
104
117
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
81
72
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
AIMat3DVOffRL
92
211
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
60
7
0
16 May 2018
Machine Learning in Compiler Optimisation
Machine Learning in Compiler Optimisation
Zheng Wang
Michael F. P. O'Boyle
VLM
67
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
54
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
105
113
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
81
131
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
36
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
41
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
134
1,320
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
133
882
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
53
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
85
711
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
83
100
0
24 Feb 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked
  Agents
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kai Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
140
592
0
23 Feb 2018
Bridging Cognitive Programs and Machine Learning
Bridging Cognitive Programs and Machine Learning
Amir Rosenfeld
John K. Tsotsos
HAI
61
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
68
16
0
29 Jan 2018
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