Deep Learning Publication Navigator - subtopic: deep reinforcement learning


Year TitleAuthor
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   Sensor Fusion for Robot Control through Deep Reinforcement Learning  S Bohez, T Verbelen, E De Coninck, B Vankeirsbilck
2017   State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning  H Sahni, S Kumar, F Tejani, Y Schroecker, C Isbell
2017   Optimizing Expectations: From Deep Reinforcement Learning To Stochastic Computation Graphs  P Abbeel
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   Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks  V Behzadan, A Munir
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   Robot gains social intelligence through multimodal deep reinforcement learning  AH Qureshi, Y Nakamura, Y Yoshikawa, H Ishiguro
2017   Evaluating persuasion strategies and deep reinforcement learning methods for negotiation dialogue agents  S Keizer, M Guhe, H Cuayahuitl, I Efstathiou
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   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   Data-efficient Deep Reinforcement Learning for Dexterous Manipulation  I Popov, N Heess, T Lillicrap, R Hafner, G Barth
2017   Deep Reinforcement Learning Using Neurophysiological Signatures of Interest  V Shih, D Jangraw, S Saproo, P Sajda
2017   Deep Reinforcement Learning with Experience Replay Based on SARSA  D Zhao, H Wang, K Shao, Y Zhu
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   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   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   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   Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning  Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei
2016   Exploring Deep Reinforcement Learning with Multi Q-Learning  E Duryea, M Ganger, W Hu
2016   Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening  FS He, Y Liu, AG Schwing, J Peng
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   Multi-Objective Deep Reinforcement Learning  H Mossalam, YM Assael, DM Roijers, S Whiteson
2016   Deep Reinforcement Learning From Raw Pixels in Doom  D Hafner
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   Benchmarking Deep Reinforcement Learning for Continuous Control  Y Duan, X Chen, R Houthooft, J Schulman, P Abbeel
2016   Deep Reinforcement Learning with POMDPs  M Egorov
2015   Giraffe: Using Deep Reinforcement Learning to Play Chess  M Lai
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   A deep reinforcement learning approach to character segmentation of license plate images  F Abtahi, Z Zhu, AM Burry
2015   Deep Reinforcement Learning for constructing meaning by 'babbling'  O Lemon, A Eshghi
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   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   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   Active Object Localization with Deep Reinforcement Learning  JC Caicedo, FUK Lorenz, S Lazebnik
2015   Continuous control with deep reinforcement learning  TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez