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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
Security Issues of Low Power Wide Area Networks in the Context of LoRa Networks Debraj Basu Tianbo Gu P. Mohapatra 29 18 0 30 Jun 2020
Towards Learning-automation IoT Attack Detection through Reinforcement Learning Tianbo Gu Allaukik Abhishek Hao Xu Huanle Zhang Debraj Basu P. Mohapatra AAML 41 34 0 29 Jun 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning Lionel Blondé Pablo Strasser Alexandros Kalousis 90 22 0 28 Jun 2020
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 39 4 0 26 Jun 2020
Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning Firas Fredj Yasser F. Al-Eryani S. Maghsudi Mohamed Akrout Ekram Hossain OffRL 77 29 0 26 Jun 2020
SOAC: The Soft Option Actor-Critic Architecture Chenghao Li Xiaoteng Ma Chongjie Zhang Jun Yang L. Xia Qianchuan Zhao 50 6 0 25 Jun 2020
Mobile Robot Path Planning in Dynamic Environments: A Survey Kuanqi Cai Chaoqun Wang Jiyu Cheng C. D. Silva Max Meng 75 48 0 25 Jun 2020
Some approaches used to overcome overestimation in Deep Reinforcement Learning algorithms Rafael Stekolshchik OffRL 15 2 0 25 Jun 2020
Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning Di Cao Junbo Zhao Weihao Hu F. Ding Qi Huang Zhe Chen F. Blaabjerg OffRL 18 6 0 24 Jun 2020
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning Çağlar Gülçehre Ziyun Wang Alexander Novikov T. Paine Sergio Gomez Colmenarejo ... Matthew W. Hoffman Ofir Nachum George Tucker N. Heess Nando de Freitas OffRL 131 72 0 24 Jun 2020
Preventing Value Function Collapse in Ensemble {Q}-Learning by Maximizing Representation Diversity Hassam Sheikh Ladislau Bölöni 15 0 0 24 Jun 2020
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments C. Thornton Mark A. Kozy R. M. Buehrer A. Martone K. Sherbondy 47 85 0 23 Jun 2020
Experience Replay with Likelihood-free Importance Weights Samarth Sinha Jiaming Song Animesh Garg Stefano Ermon OffRL 105 58 0 23 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulic OffRL 76 27 0 23 Jun 2020
Ecological Reinforcement Learning John D. Co-Reyes Suvansh Sanjeev Glen Berseth Abhishek Gupta Sergey Levine OffRL 105 23 0 22 Jun 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning Eric Steinberger Adam Lerer Noam Brown 132 54 0 18 Jun 2020
WD3: Taming the Estimation Bias in Deep Reinforcement Learning Qiang He Xinwen Hou OffRL 72 29 0 18 Jun 2020
Semantic Visual Navigation by Watching YouTube Videos Matthew Chang Arjun Gupta Saurabh Gupta 63 81 0 17 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations Alexey Skrynnik A. Staroverov Ermek Aitygulov Kirill Aksenov Vasilii Davydov Aleksandr I. Panov OffRL 66 4 0 17 Jun 2020
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections C. Hoel Tommy Tram J. Sjöberg 75 30 0 17 Jun 2020
Mining Personalized Climate Preferences for Assistant Driving Feng Hu 11 0 0 16 Jun 2020
Index Selection for NoSQL Database with Deep Reinforcement Learning Shun Yao Hongzhi Wang Yu Yan 13 18 0 16 Jun 2020
Learning Heuristic Selection with Dynamic Algorithm Configuration David Speck André Biedenkapp Frank Hutter Robert Mattmüller Marius Lindauer 92 29 0 15 Jun 2020
An online evolving framework for advancing reinforcement-learning based automated vehicle control Teawon Han S. Nageshrao Dimitar Filev Ü. Özgüner OffRL 22 5 0 15 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 108 24 0 12 Jun 2020
Human and Multi-Agent collaboration in a human-MARL teaming framework N. Navidi Francois Chabot Sagar Kurandwad Irv Lustigman Vincent Robert Gregory Szriftgiser Andrea Schuch 33 2 0 12 Jun 2020
Learning to Communicate Using Counterfactual Reasoning Simon Vanneste Astrid Vanneste Kevin Mets Tom De Schepper Ali Anwar Siegfried Mercelis Steven Latré P. Hellinckx OffRL 80 11 0 12 Jun 2020
Borrowing From the Future: Addressing Double Sampling in Model-free Control Yuhua Zhu Zachary Izzo Lexing Ying 32 4 0 11 Jun 2020
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts R. Akrour Davide Tateo Jan Peters 60 22 0 10 Jun 2020
Fitted Q-Learning for Relational Domains Srijita Das S. Natarajan Kaushik Roy Ronald E. Parr Kristian Kersting 54 15 0 10 Jun 2020
Balancing a CartPole System with Reinforcement Learning -- A Tutorial S. Kumar 43 24 0 08 Jun 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 123 30 0 08 Jun 2020
Stable Reinforcement Learning with Unbounded State Space Devavrat Shah Qiaomin Xie Zhi Xu OffRL 55 13 0 08 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 92 67 0 07 Jun 2020
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains Nazneen N. Sultana Hardik Meisheri Vinita Baniwal Somjit Nath Balaraman Ravindran H. Khadilkar 65 22 0 07 Jun 2020
Re-understanding Finite-State Representations of Recurrent Policy Networks Mohamad H. Danesh Anurag Koul Alan Fern Saeed Khorram 69 21 0 06 Jun 2020
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines Callum Wilson A. Riccardi E. Minisci 21 4 0 04 Jun 2020
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning Will Dabney André Barreto Mark Rowland Robert Dadashi John Quan Marc G. Bellemare David Silver 84 67 0 03 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 143 226 0 01 Jun 2020
Deep R-Learning for Continual Area Sweeping Rishi Shah Yuqian Jiang Justin W. Hart Peter Stone 40 12 0 31 May 2020
MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning Parvin Malekzadeh Mohammad Salimibeni Arash Mohammadi A. Assa Konstantinos N. Plataniotis OffRL 45 12 0 30 May 2020
Intelligent Residential Energy Management System using Deep Reinforcement Learning Alwyn Mathew Abhijit Roy Jimson Mathew 10 42 0 28 May 2020
Domain Knowledge Integration By Gradient Matching For Sample-Efficient Reinforcement Learning Parth Chadha 17 0 0 28 May 2020
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension Ruosong Wang Ruslan Salakhutdinov Lin F. Yang 101 55 0 21 May 2020
Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning Jixuan Zhi Jyh-Ming Lien 44 29 0 19 May 2020
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation Taiyu Zhu Kezhi Li P. Herrero Pantelis Georgiou 64 84 0 18 May 2020
Unbiased Deep Reinforcement Learning: A General Training Framework for Existing and Future Algorithms Huihui Zhang Wu Huang OOD OffRL 23 1 0 12 May 2020
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning Binyu Wang Yanfeng Guo Qingbiao Li Amanda Prorok 59 231 0 11 May 2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Yash Satsangi Sungsu Lim Shimon Whiteson F. Oliehoek Martha White 80 15 0 11 May 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 246 198 0 08 May 2020