Deep Recurrent Q-Learning for Partially Observable MDPs

23 July 2015

Papers citing "Deep Recurrent Q-Learning for Partially Observable MDPs"

50 / 634 papers shown

Title
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 17 51 0 11 May 2018
Deep Reinforcement Learning for Playing 2.5D Fighting Games Yu-Jhe Li Hsin-Yu Chang Yu-Jing Lin Po-Wei Wu Y. Wang GAN 6 5 0 05 May 2018
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing Leye Wang Wenbin Liu Daqing Zhang Yasha Wang E. Wang Yongjian Yang 17 32 0 19 Apr 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 21 10 0 19 Apr 2018
Robust Dual View Deep Agent Ibrahim Sobh N. Darwish 11 2 0 13 Apr 2018
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning K. Yu Chao Dong Liang Lin Chen Change Loy CLL OffRL 19 174 0 10 Apr 2018
A Human Mixed Strategy Approach to Deep Reinforcement Learning Ngoc Duy Nguyen S. Nahavandi Thanh Nguyen 14 12 0 05 Apr 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 46 1,654 0 30 Mar 2018
Generating Goal-Directed Visuomotor Plans Based on Learning Using a Predictive Coding-type Deep Visuomotor Recurrent Neural Network Model Minkyu Choi Takazumi Matsumoto Minju Jung Jun Tani 13 4 0 07 Mar 2018
Recurrent Predictive State Policy Networks Ahmed S. Hefny Zita Marinho Wen Sun S. Srinivasa Geoffrey J. Gordon 26 19 0 05 Mar 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search Yelong Shen Jianshu Chen Po-Sen Huang Yuqing Guo Jianfeng Gao 16 127 0 12 Feb 2018
A Critical Investigation of Deep Reinforcement Learning for Navigation Vikas Dhiman Shurjo Banerjee Brent A. Griffin J. Siskind Jason J. Corso 29 36 0 07 Feb 2018
Shared Autonomy via Deep Reinforcement Learning S. Reddy Anca Dragan Sergey Levine 13 176 0 06 Feb 2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments Per-Arne Andersen 18 16 0 29 Jan 2018
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, & Snapshot Ensembling Christopher Schulze Marcus Schulze 21 32 0 03 Jan 2018
A Deep Policy Inference Q-Network for Multi-Agent Systems Zhang-Wei Hong Shih-Yang Su Tzu-Yun Shann Yi-Hsiang Chang Chun-Yi Lee 17 85 0 21 Dec 2017
Multi-shot Pedestrian Re-identification via Sequential Decision Making Jianfu Zhang Naiyan Wang Liqing Zhang 21 69 0 19 Dec 2017
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley 17 93 0 18 Dec 2017
Deep Reinforcement Learning Boosted by External Knowledge Nicolas Bougie R. Ichise OffRL 25 15 0 12 Dec 2017
Crossmodal Attentive Skill Learner Shayegan Omidshafiei Dong-Ki Kim Jason Pazis Jonathan P. How 21 13 0 28 Nov 2017
Data-driven Planning via Imitation Learning Sanjiban Choudhury M. Bhardwaj S. Arora Ashish Kapoor G. Ranade Sebastian Scherer Debadeepta Dey 41 80 0 17 Nov 2017
Regret Minimization for Partially Observable Deep Reinforcement Learning Peter H. Jin Kurt Keutzer Sergey Levine 13 50 0 31 Oct 2017
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach Yuhang Song Mai Xu Jianyi Wang Minglang Qiao Liangyu Huo Zulin Wang 29 205 0 30 Oct 2017
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning Yuhang Song Mai Xu Songyang Zhang Liangyu Huo 21 3 0 27 Oct 2017
Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on Rough Terrain Challenge Doo Re Song Chuanyu Yang C. McGreavy Zhibin Li 26 29 0 08 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 11 2,232 0 06 Oct 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks Arun Venkatraman Nicholas Rhinehart Wen Sun Lerrel Pinto M. Hebert Byron Boots Kris M. Kitani J. Andrew Bagnell AI4CE 18 42 0 25 Sep 2017
On overfitting and asymptotic bias in batch reinforcement learning with partial observability Vincent François-Lavet Guillaume Rabusseau Joelle Pineau D. Ernst R. Fonteneau OffRL 18 33 0 22 Sep 2017
Guided Deep Reinforcement Learning for Swarm Systems Maximilian Hüttenrauch Adrian Šošić Gerhard Neumann 16 128 0 18 Sep 2017
Parallelizing Linear Recurrent Neural Nets Over Sequence Length Eric Martin Chris Cundy 25 93 0 12 Sep 2017
Deep Learning for Video Game Playing Niels Justesen Philip Bontrager Julian Togelius S. Risi VLM 24 206 0 25 Aug 2017
Fake News in Social Networks Christoph Aymanns Jakob N. Foerster Co-Pierre Georg GNN FedML 15 17 0 21 Aug 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 32 2,774 0 19 Aug 2017
LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions Yu Wang Jiayi Liu Yuxiang Liu Jun Hao Yang He Jinghe Hu Weipeng P. Yan Mantian Li 27 19 0 18 Aug 2017
Deep Reinforcement Learning for High Precision Assembly Tasks Tadanobu Inoue Giovanni De Magistris Asim Munawar T. Yokoya Ryuki Tachibana 16 266 0 14 Aug 2017
Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning F. Ruelens Bert Claessens Peter Vrancx Fred Spiessens Geert Deconinck 11 32 0 26 Jul 2017
Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning J. Supančič Deva Ramanan OffRL 26 109 0 17 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 16 331 0 11 Jul 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 16 982 0 16 Jun 2017
Non-Markovian Control with Gated End-to-End Memory Policy Networks J. Perez T. Silander OffRL 11 6 0 31 May 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 34 2,040 0 24 May 2017
Learning to Represent Haptic Feedback for Partially-Observable Tasks Jaeyong Sung J. Salisbury Ashutosh Saxena SSL 17 32 0 17 May 2017
On Improving Deep Reinforcement Learning for POMDPs Pengfei Zhu Xin Li Pascal Poupart Guanghui Miao 16 123 0 26 Apr 2017
Translating Neuralese Jacob Andreas Anca Dragan Dan Klein 29 58 0 23 Apr 2017
Investigating Recurrence and Eligibility Traces in Deep Q-Networks J. Harb Doina Precup 17 21 0 18 Apr 2017
Deep Reinforcement Learning framework for Autonomous Driving Ahmad El-Sallab Mohammed Abdou E. Perot S. Yogamani 6 962 0 08 Apr 2017
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning Fan Wu Zhongwen Xu Yi Yang ObjD 26 11 0 22 Mar 2017
QMDP-Net: Deep Learning for Planning under Partial Observability Peter Karkus David Hsu Wee Sun Lee PINN 27 156 0 20 Mar 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability Shayegan Omidshafiei Jason Pazis Chris Amato Jonathan P. How J. Vian 8 497 0 17 Mar 2017
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 17 344 0 06 Mar 2017