Deep Learning Publication Navigator - subtopic: reinforcement learning

Year TitleAuthor
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 Multi-label 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   Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark 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 Policy-Gradient and Value-Function Based Reinforcement Learning  SS Mousavi, M Schukat, P Corcoran, E Howley
2017   A Blackboard Based Hybrid Multi-Agent 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 Reward-Policy 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 Demonstration-Where 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   Model-Free 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   Large-scale multi-agent reinforcement learning using image-based 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   Temporal-related Convolutional-Restricted-Boltzmann-Machine capable of learning relational order via reinforcement learning procedure?  Z Wang
2017   Second-order Optimization in Deep Reinforcement Learning using Kronecker-factored 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 Zero-Shot 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   3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 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   Pre-training 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 Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning  J Huang, N Li, T Zhang, G Li
2017   Large-Scale 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   Data-efficient 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   Semi-supervised 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   Goal-Driven 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 Q-Networks  S Sharifzadeh, I Chiotellis, R Triebel, D Cremers
2016   End-to-End 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 Multi-Agent 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   Target-driven 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 Q-Learning  E Duryea, M Ganger, W Hu
2016   Hierarchical Reinforcement Learning using Spatio-Temporal 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   Multi-Objective Deep Reinforcement Learning  H Mossalam, YM Assael, DM Roijers, S Whiteson
2016   Deep Reinforcement Learning for Multi-Domain 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   Human-level 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 action-selection: 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 Actor-Critic 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 Q-learning  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 Vision-Based 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