Year  Title  Author 
2017

On Reinforcement Learning for Deep Neural Architectures 
E Bengio

2017

Deep Reinforcement Learning for Visual Object Tracking in Videos 
D Zhang, H Maei, X Wang, YF Wang

2017

A Control Strategy of Autonomous Vehicles Based on Deep Reinforcement Learning 
W Xia, H Li, B Li

2017

Some notes on Policy Gradients for Reinforcement Learning 
D Meyer

2017

Sensor Fusion for Robot Control through Deep Reinforcement Learning 
S Bohez, T Verbelen, E De Coninck, B Vankeirsbilck

2017

A Proactive Decision Support Method Based on Deep Reinforcement Learning and State Partition 
Y Wang, S Geng, H Gao

2017

Recurrent Attentional Reinforcement Learning for Multilabel Image Recognition 
T Chen, Z Wang, G Li, L Lin

2017

Neural Optimizer Search with Reinforcement Learning 
I Bello, B Zoph, V Vasudevan, Q Le

2017

Applications of Deep Learning and Reinforcement Learning to Biological Data 
M Mahmud, MS Kaiser, A Hussain, S Vassanelli

2017

Perceptual Goal Specifications For Reinforcement Learning 
AD Edwards

2017

MultiScale Deep Reinforcement Learning for RealTime 3DLandmark Detection in CT Scans 
FC Ghesu, B Georgescu, Y Zheng, S Grbic, A Maier

2017

Deep Reinforcement Learning for Resource Allocation in V2V Communications 
H Ye, GY Li

2017

Traffic Light Control Using Deep PolicyGradient and ValueFunction Based Reinforcement Learning 
SS Mousavi, M Schukat, P Corcoran, E Howley

2017

A Blackboard Based Hybrid MultiAgent System for Improving Classification Accuracy Using Reinforcement Learning Techniques 
S Kapetanakis

2017

State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning 
H Sahni, S Kumar, F Tejani, Y Schroecker, C Isbell

2017

OptionGAN: Learning Joint RewardPolicy Options using Generative Adversarial Inverse Reinforcement Learning 
P Henderson, WD Chang, PL Bacon, D Meger

2017

Optimizing Expectations: From Deep Reinforcement Learning To Stochastic Computation Graphs 
P Abbeel

2017

Learning from Longitudinal Face DemonstrationWhere Tractable Deep Modeling Meets Inverse Reinforcement Learning 
CN Duong, KG Quach, K Luu, T Le, M Savvides

2017

Towards a Deep Reinforcement Learning Approach for Tower Line Wars 
PA Andersen, M Goodwin, OC Granmo

2017

Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning 
F Ruelens, BJ Claessens, P Vrancx, F Spiessens

2017

Automatic Goal Generation for Reinforcement Learning Agents 
D Held, X Geng, C Florensa, P Abbeel

2017

Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks 
V Behzadan, A Munir

2017

ModelFree Deep Inverse Reinforcement Learning by Logistic Regression 
E Uchibe

2017

Bibi system description: Building with cnns and breaking with deep reinforcement learning 
Y Li, T Cohn, T Baldwin

2017

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning 
V Firoiu, WF Whitney, JB Tenenbaum

2017

Sparse Bayesian Reinforcement Learning 
M Lee

2017

Generative Adversarial Networks for Model Based Reinforcement Learning with Tree Search 
T Xiao, G Kesineni

2017

Largescale multiagent reinforcement learning using imagebased state representation 
T Chu, S Qu, J Wang

2017

Robot gains social intelligence through multimodal deep reinforcement learning 
AH Qureshi, Y Nakamura, Y Yoshikawa, H Ishiguro

2017

Temporalrelated ConvolutionalRestrictedBoltzmannMachine capable of learning relational order via reinforcement learning procedure? 
Z Wang

2017

Secondorder Optimization in Deep Reinforcement Learning using Kroneckerfactored Approximation 
Y Wu, E Mansimov, RB Grosse, S Liao, J Ba

2017

Evaluating persuasion strategies and deep reinforcement learning methods for negotiation dialogue agents 
S Keizer, M Guhe, H Cuayahuitl, I Efstathiou

2017

Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning 
T Hirata, T Kuremoto, M Obayashi, S Mabu

2017

DARLA: Improving ZeroShot Transfer in Reinforcement Learning 
I Higgins, A Pal, A Rusu, L Matthey, C Burgess

2017

Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution 
PW Chou, D Maturana, S Scherer

2017

3DCNNDQNRNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Largescale 3D Point Clouds 
F Liu, S Li, L Zhang, C Zhou, R Ye, Y Wang, J Lu

2017

Joint Extraction of Entities and Relations using Reinforcement Learning and Deep Learning 
Y Feng, H Zhang, W Hao, G Chen

2017

Enhanced Experience Replay Generation for Efficient Reinforcement Learning 
V Huang, T Ley, M Vlachou

2017

Cooperation and communication in multiagent deep reinforcement learning 
MJ Hausknecht

2017

Pretraining Neural Networks with Human Demonstrations for Deep Reinforcement Learning 
GV Cruz Jr, Y Du, ME Taylor

2017

Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data 
Y Liu, B Logan, N Liu, Z Xu, J Tang, Y Wang

2017

A SelfAdaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning 
J Huang, N Li, T Zhang, G Li

2017

LargeScale and Adaptive Service Composition Using Deep Reinforcement Learning 
H Wang, M Gu, Q Yu, H Fei, J Li, Y Tao

2017

Step 6–Deep and Reinforcement Learning 
M Swamynathan

2017

Dataefficient Deep Reinforcement Learning for Dexterous Manipulation 
I Popov, N Heess, T Lillicrap, R Hafner, G Barth

2017

Hierarchical extreme learning machine based reinforcement learning for goal localization 
N AlDahoul, ZZ Htike, R Akmeliawati

2017

Deep Reinforcement Learning Using Neurophysiological Signatures of Interest 
V Shih, D Jangraw, S Saproo, P Sajda

2017

Control of Inverted Double Pendulum using Reinforcement Learning 
F Gustafsson

2017

Deep Reinforcement Learning with Experience Replay Based on SARSA 
D Zhao, H Wang, K Shao, Y Zhu

2017

Can a reinforcement learning agent practice before it starts learning? 
M Lee, CW Anderson

2017

Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services 
M Mohammadi, A Al

2017

Performance comparision of different momentum techniques on deep reinforcement learning 
M Sarigül, M Avci

2017

GoalDriven Dimensionality Reduction for Reinforcement Learning 
S Parisi, S Ramstedt, J Peters

2017

Efficient Parallel Methods for Deep Reinforcement Learning 
AV Clemente, HN Castejón, A Chandra

2016

SimpleDS: A Simple Deep Reinforcement Learning Dialogue System 
H Cuayáhuitl

2016

Traffic signal timing via deep reinforcement learning 
L Li, Y Lv, FY Wang

2016

Learning to Drive using Inverse Reinforcement Learning and Deep QNetworks 
S Sharifzadeh, I Chiotellis, R Triebel, D Cremers

2016

EndtoEnd Deep Reinforcement Learning for Lane Keeping Assist 
AE Sallab, M Abdou, E Perot, S Yogamani

2016

Multilateral Surgical Pattern Cutting in 2D Orthotropic Gauze with Deep Reinforcement Learning Policies for Tensioning 
B Thananjeyan, A Garg, S Krishnan, C Chen, L Miller

2016

Learning to Communicate with Deep MultiAgent Reinforcement Learning 
JN Foerster, YM Assael, N de Freitas, S Whiteson

2016

Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots 
L Tai, M Liu

2016

Deep Reinforcement Learning for Dialogue Generation 
J Li, W Monroe, A Ritter, D Jurafsky

2016

Dueling Network Architectures for Deep Reinforcement Learning 
N de Freitas

2016

Inverse Reinforcement Learning via Deep Gaussian Process 
M Jin, C Spanos

2016

Targetdriven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning 
Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei

2016

Towards Deep Symbolic Reinforcement Learning 
M Garnelo, K Arulkumaran, M Shanahan

2016

Exploring Deep Reinforcement Learning with Multi QLearning 
E Duryea, M Ganger, W Hu

2016

Hierarchical Reinforcement Learning using SpatioTemporal Abstractions and Deep Neural Networks 
R Krishnamurthy, AS Lakshminarayanan, P Kumar

2016

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening 
FS He, Y Liu, AG Schwing, J Peng

2016

Neural Architecture Search with Reinforcement Learning 
B Zoph, QV Le

2016

Asynchronous Methods for Deep Reinforcement Learning 
V Mnih, AP Badia, M Mirza, A Graves, TP Lillicrap

2016

Automatic Bridge Bidding Using Deep Reinforcement Learning 
CK Yeh, HT Lin

2016

Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent 
TJ O'Shea, TC Clancy

2016

Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay 
IA Hosu, T Rebedea

2016

Deep Reinforcement Learning From Raw Pixels in Doom 
D Hafner

2016

MultiObjective Deep Reinforcement Learning 
H Mossalam, YM Assael, DM Roijers, S Whiteson

2016

Deep Reinforcement Learning for MultiDomain Dialogue Systems 
H Cuayáhuitl, S Yu, A Williamson, J Carse

2016

Training an Interactive Humanoid Robot Using Multimodal Deep Reinforcement Learning 
H Cuayáhuitl, G Couly, C Olalainty

2016

Representations and Control in Atari Games Using Reinforcement Learning 
Y Liang

2016

Extracting Bottlenecks for Reinforcement Learning Agent by Holonic Concept Clustering and Attentional Functions 
B Ghazanfari, N Mozayani

2016

Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting 
T Hirata, T Kuremoto, M Obayashi, S Mabu

2016

Deep Inverse Reinforcement Learning by Logistic Regression 
E Uchibe

2016

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading. 
Y Deng, F Bao, Y Kong, Z Ren, Q Dai

2016

Benchmarking Deep Reinforcement Learning for Continuous Control 
Y Duan, X Chen, R Houthooft, J Schulman, P Abbeel

2016

Online Adaptation of Deep Architectures with Reinforcement Learning 
T Ganegedara, L Ott, F Ramos

2016

An Exhaustive Survey Of Reinforcement Learning With Hierarchical Structure 
A Chaturvedi, N Mishra

2016

Deep Reinforcement Learning with POMDPs 
M Egorov

2016

Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains 
D Abel, A Agarwal, F Diaz, A Krishnamurthy

2015

Giraffe: Using Deep Reinforcement Learning to Play Chess 
M Lai

2015

Methods And Apparatus For Reinforcement Learning 
V Mnih, K Kavukcuoglu

2015

Humanlevel control through deep reinforcement learning 
V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness

2015

Generating Text with Deep Reinforcement Learning 
H Guo

2015

Optimal Neuron Selection: NK Echo State Networks for Reinforcement Learning 
D Whitley, R Tinós, F Chicano

2015

A deep reinforcement learning approach to character segmentation of license plate images 
F Abtahi, Z Zhu, AM Burry

2015

Unsupervised neural controller for Reinforcement Learning actionselection: Learning to represent knowledge 
A Gkiokas, AI Cristea

2015

Neuron Clustering for Mitigating Catastrophic Forgetting in Supervised and Reinforcement Learning 
BF Goodrich

2015

Reinforcement learning improves behaviour from evaluative feedback 
ML Littman

2015

Deep Reinforcement Learning for constructing meaning by 'babbling' 
O Lemon, A Eshghi

2015

Deep Learning for ActorCritic Reinforcement Learning 
X Jia

2015

Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning 
S Mohamed, DJ Rezende

2015

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models 
BC Stadie, S Levine, P Abbeel

2015

Deep Reinforcement Learning with Double Qlearning 
H van Hasselt, A Guez, D Silver

2015

Strategic Dialogue Management via Deep Reinforcement Learning 
H Cuayáhuitl, S Keizer, O Lemon

2015

Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning … 
W Böhmer, JT Springenberg, J Boedecker

2015

Towards VisionBased Deep Reinforcement Learning for Robotic Motion Control 
F Zhang, J Leitner, M Milford, B Upcroft, P Corke

2015

Deep Reinforcement Learning with an Unbounded Action Space 
J He, J Chen, X He, J Gao, L Li, L Deng, M Ostendorf

2015

Deep Reinforcement Learning in Parameterized Action Space 
M Hausknecht, P Stone

2015

Hierarchical reinforcement learning in a biologically plausible neural architecture 
D Rasmussen

2015

State of the Art Control of Atari Games Using Shallow Reinforcement Learning 
Y Liang, MC Machado, E Talvitie, M Bowling

2015

Massively Parallel Methods for Deep Reinforcement Learning 
A Nair, P Srinivasan, S Blackwell, C Alcicek, R Fearon

2015

Deep Reinforcement Learning in Keepaway Soccer 
M Kurek

2015

On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models 
J Schmidhuber

2015

Active Object Localization with Deep Reinforcement Learning 
JC Caicedo, FUK Lorenz, S Lazebnik

2015

Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies 
D Balduzzi, M Ghifary

2015

Continuous control with deep reinforcement learning 
TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez

2015

Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning 
J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold
