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Deep Reinforcement Learning with Double Q-learning

22 September 2015

David Silver

Papers citing "Deep Reinforcement Learning with Double Q-learning"

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Title
Reinforcement Learning via Fenchel-Rockafellar Duality Ofir Nachum Bo Dai OffRL 166 123 0 07 Jan 2020
Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar C. Thornton R. M. Buehrer A. Martone K. Sherbondy 24 12 0 06 Jan 2020
Reward-Conditioned Policies Aviral Kumar Xue Bin Peng Sergey Levine 71 96 0 31 Dec 2019
Information Theoretic Model Predictive Q-Learning M. Bhardwaj Ankur Handa Dieter Fox Byron Boots 80 23 0 31 Dec 2019
Individual specialization in multi-task environments with multiagent reinforcement learners M. Gasparrini Ricard Solé Martí Sánchez-Fibla 21 3 0 29 Dec 2019
Real-time Policy Distillation in Deep Reinforcement Learning Yuxiang Sun Pooyan Fazli 52 6 0 29 Dec 2019
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning Keng Wah Loon L. Graesser Milan Cvitkovic OffRL 48 13 0 28 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 131 193 0 23 Dec 2019
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems Wen Song Zhiguang Cao Jie Zhang Andrew Lim 72 34 0 23 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 68 34 0 23 Dec 2019
Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning Yanchao Sun Furong Huang 89 4 0 21 Dec 2019
Soft Q Network Jingbin Liu Shuai Liu Xinyang Gu OffRL 51 2 0 20 Dec 2019
Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data Johan S. Obando-Ceron Victor A. Romero-Cano Walter M. Mayor Toro OffRL 27 2 0 20 Dec 2019
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning A. Celli Marco Ciccone Raffaele Bongo N. Gatti 61 12 0 16 Dec 2019
To Follow or not to Follow: Selective Imitation Learning from Observations Youngwoon Lee E. Hu Zhengyu Yang Joseph J. Lim 62 15 0 16 Dec 2019
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning Shuai Lu Shuai Han Wenbo Zhou Junwei Zhang 72 26 0 13 Dec 2019
The PlayStation Reinforcement Learning Environment (PSXLE) Carlos Purves Cătălina Cangea Petar Velickovic 26 3 0 12 Dec 2019
Text as Environment: A Deep Reinforcement Learning Text Readability Assessment Model Hamid Reza Mohammadi S. H. Khasteh Tahereh Firoozi Taha Samavati 98 20 0 12 Dec 2019
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments Bruna G. Maciel-Pearson Letizia Marchegiani S. Akçay Amir Atapour-Abarghouei James Garforth T. Breckon 65 30 0 11 Dec 2019
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning Tianying Wang Hao Zhang Wei Qi Toh Erik Cambria Cheston Tan Yan Wu Yong Liu Wei Jing 33 6 0 11 Dec 2019
Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion Bo Zhou Hongsheng Zeng Fan Wang Yunxiang Li Hao Tian 59 18 0 10 Dec 2019
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation Pan Xu Quanquan Gu 90 68 0 10 Dec 2019
Adversarial recovery of agent rewards from latent spaces of the limit order book Jacobo Roa-Vicens Yuanbo Wang Virgile Mison Y. Gal Ricardo M. A. Silva 51 3 0 09 Dec 2019
Training Agents using Upside-Down Reinforcement Learning R. Srivastava Pranav Shyam Filipe Wall Mutz Wojciech Ja'skowski Jürgen Schmidhuber OffRL 93 126 0 05 Dec 2019
Improving Policies via Search in Cooperative Partially Observable Games Adam Lerer Hengyuan Hu Jakob N. Foerster Noam Brown 79 78 0 05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 90 82 0 04 Dec 2019
Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks Zheyuan Wang Matthew C. Gombolay 27 7 0 04 Dec 2019
SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning Charlie Hou Mingxun Zhou Yan Ji Philip Daian Florian Tramèr Giulia Fanti Ari Juels AAML 72 30 0 04 Dec 2019
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation George De Ath Richard Everson Alma A. M. Rahat J. Fieldsend 95 101 0 28 Nov 2019
Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense Taha Eghtesad Yevgeniy Vorobeychik Aron Laszka AAML 49 8 0 27 Nov 2019
Biologically inspired architectures for sample-efficient deep reinforcement learning Pierre Harvey Richemond Arinbjorn Kolbeinsson Yike Guo 59 2 0 25 Nov 2019
Disentangled Cumulants Help Successor Representations Transfer to New Tasks Christopher Grimm I. Higgins André Barreto Denis Teplyashin Markus Wulfmeier Tim Hertweck R. Hadsell Satinder Singh 69 14 0 25 Nov 2019
A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control Yuguang Yang 21 1 0 25 Nov 2019
Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning Gang Chen 69 4 0 24 Nov 2019
Which Channel to Ask My Question? Personalized Customer Service Request Stream Routing using Deep Reinforcement Learning Zining Liu Chong Long Xiaolu Lu Zehong Hu Jie Zhang Yafang Wang 40 9 0 24 Nov 2019
From Persistent Homology to Reinforcement Learning with Applications for Retail Banking Jérémy Charlier 30 1 0 23 Nov 2019
Deep Reinforcement Learning for Trading Zihao Zhang S. Zohren Stephen J. Roberts AIFin 101 209 0 22 Nov 2019
Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control Marta Sarrico Kai Arulkumaran A. Agostinelli Pierre Harvey Richemond Anil Anthony Bharath 24 2 0 21 Nov 2019
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling Sanket Shah Meghna Lowalekar Pradeep Varakantham 75 82 0 20 Nov 2019
Classification with Costly Features in Hierarchical Deep Sets Jaromír Janisch Tomávs Pevný Viliam Lisý 29 2 0 20 Nov 2019
Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks Vibhavari Dasagi Robert Lee Jake Bruce Jurgen Leitner OffRL 56 2 0 20 Nov 2019
Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning Jin Qiu Jiangbin Lyu Liqun Fu 63 29 0 19 Nov 2019
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 89 154 0 15 Nov 2019
Asymptotics of Reinforcement Learning with Neural Networks Justin A. Sirignano K. Spiliopoulos MLT 98 14 0 13 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 127 105 0 13 Nov 2019
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach Yingjun Pei Xinwen Hou SSL 76 10 0 12 Nov 2019
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing Liang Wang Kezhi Wang Cunhua Pan Wenyuan Xu N. Aslam A. Nallanathan 60 201 0 10 Nov 2019
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning Zhiqian Qiao Zachariah Tyree P. Mudalige J. Schneider John M. Dolan 51 33 0 09 Nov 2019
Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach Xinan Wang Yishen Wang Di Shi Jianhui Wang Zhiwei Wang 43 51 0 08 Nov 2019
MBCAL: Sample Efficient and Variance Reduced Reinforcement Learning for Recommender Systems Fan Wang Xiaomin Fang Lihang Liu Hao Tian Zhiming Peng OffRL 35 0 0 06 Nov 2019