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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
Off-Belief Learning Hengyuan Hu Adam Lerer Brandon Cui David J. Wu Luis Pineda Noam Brown Jakob N. Foerster OffRL 63 73 0 06 Mar 2021
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 77 149 0 05 Mar 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen Kimin Lee A. Srinivas Pieter Abbeel OffRL 70 11 0 04 Mar 2021
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph Xin Ye Yezhou Yang 102 25 0 01 Mar 2021
Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach Trevor Bonjour Marina Haliem A. Alsalem Shilpa Thomas Hongyu Li Vaneet Aggarwal Mayank Kejriwal Bharat K. Bhargava 97 15 0 01 Mar 2021
Ensemble Bootstrapping for Q-Learning Oren Peer Chen Tessler Nadav Merlis Ron Meir 87 42 0 28 Feb 2021
Sequential Learning-based IaaS Composition Sajib Mistry Sheik Mohammad Mostakim Fattah A. Bouguettaya 54 0 0 24 Feb 2021
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments Dmitry Ivanov Vladimir Egorov A. Shpilman 55 5 0 24 Feb 2021
Greedy-Step Off-Policy Reinforcement Learning Yuhui Wang Qingyuan Wu Pengcheng He Xiaoyang Tan OffRL 57 1 0 23 Feb 2021
An Interaction-aware Evaluation Method for Highly Automated Vehicles Xinpeng Wang Songan Zhang Kuan-Hui Lee H. Peng 33 10 0 23 Feb 2021
Reinforcement Learning with Prototypical Representations Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto SSL 83 226 0 22 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 61 15 0 18 Feb 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse P. Schramowski Martin Mundt Alejandro Molina Kristian Kersting 139 15 0 18 Feb 2021
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving Haochen Liu Zhiyu Huang Jingda Wu Chen Lv 92 74 0 18 Feb 2021
Continuous Doubly Constrained Batch Reinforcement Learning Rasool Fakoor Jonas W. Mueller Kavosh Asadi Pratik Chaudhari Alex Smola OffRL 286 27 0 18 Feb 2021
SCAPE: Learning Stiffness Control from Augmented Position Control Experiences Mincheol Kim S. Niekum A. Deshpande 76 4 0 16 Feb 2021
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn OffRL 42 4 0 16 Feb 2021
Steadily Learn to Drive with Virtual Memory Yuhang Zhang Yao Mu Yujie Yang Yang Guan Shengbo Eben Li Qi Sun Jianyu Chen 40 1 0 16 Feb 2021
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires through Robust Adversarial Reinforcement Learning Masao Shinzaki Yusuke Koda Koji Yamamoto Takayuki Nishio M. Morikura Y. Shirato D. Uchida N. Kita 30 7 0 16 Feb 2021
Transferring Domain Knowledge with an Adviser in Continuous Tasks Rukshan Wijesinghe Kasun Vithanage Dumindu Tissera A. Xavier Subha Fernando Jayathu Samarawickrama CLL 43 0 0 16 Feb 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 97 40 0 16 Feb 2021
Reinforcement Learning for IoT Security: A Comprehensive Survey Aashma Uprety D. Rawat AAML 93 124 0 14 Feb 2021
Q-Value Weighted Regression: Reinforcement Learning with Limited Data Piotr Kozakowski Lukasz Kaiser Henryk Michalewski Afroz Mohiuddin Katarzyna Kañska OffRL 73 5 0 12 Feb 2021
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning Karl Kurzer Philip Schorner Alexander Albers Hauke Thomsen Karam Daaboul Johann Marius Zöllner 51 11 0 12 Feb 2021
Hedging of Financial Derivative Contracts via Monte Carlo Tree Search O. Szehr AIFin 30 3 0 11 Feb 2021
Personalization for Web-based Services using Offline Reinforcement Learning P. Apostolopoulos Zehui Wang Hanson Wang Chad Zhou Kittipat Virochsiri Norm Zhou Igor L. Markov OffRL OnRL 68 7 0 10 Feb 2021
Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply Tiansheng Huang Weiwei Lin Ying Li Xiumin Wang Qingbo Wu Rui Li Ching-Hsien Hsu Albert Y. Zomaya 52 6 0 10 Feb 2021
Reinforcement Learning For Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku) Anav Mehta AI4CE 122 4 0 09 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 55 13 0 09 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 104 150 0 08 Feb 2021
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management Zhenhan Huang F. Tanaka AIFin 91 25 0 06 Feb 2021
Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles Haowei Sun Shuo Feng Xintao Yan Henry X. Liu AAML 79 54 0 06 Feb 2021
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios Chengmin Zhou Bingding Huang Pasi Fränti 32 1 0 05 Feb 2021
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning Julian Bernhard Robert Gieselmann Klemens Esterle Alois Knoll 42 17 0 05 Feb 2021
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning Julian Bernhard Stefan Pollok Alois Knoll 47 33 0 05 Feb 2021
A review of motion planning algorithms for intelligent robotics Chengmin Zhou Bingding Huang Pasi Fränti 63 4 0 04 Feb 2021
DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware Mohit Sewak S. K. Sahay Hemant Rathore 23 13 0 01 Feb 2021
Reinforcement Learning for Freight Booking Control Problems Justin Dumouchelle Emma Frejinger Andrea Lodi 59 1 0 29 Jan 2021
Acting in Delayed Environments with Non-Stationary Markov Policies E. Derman Gal Dalal Shie Mannor 84 34 0 28 Jan 2021
Learning Abstract Representations through Lossy Compression of Multi-Modal Signals Charles Wilmot Gianluca Baldassarre Jochen Triesch 33 5 0 27 Jan 2021
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges Xin Chen Guannan Qu Yujie Tang S. Low Na Li 83 239 0 27 Jan 2021
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors William H. Guss Cayden R. Codel Katja Hofmann Brandon Houghton Noburu Kuno ... John Schulman Manuela Veloso Nicholay Topin Avinash Ummadisingu Phillip Wang OffRL 83 65 0 26 Jan 2021
Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies Fabio Ferreira Thomas Nierhoff Frank Hutter 69 8 0 24 Jan 2021
Solving optimal stopping problems with Deep Q-Learning John Ery Loris Michel 14 6 0 24 Jan 2021
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline Hu Wang Hao Chen Qi Wu Congbo Ma Yidong Li Chunhua Shen 60 13 0 24 Jan 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning William F. Whitney Michael Bloesch Jost Tobias Springenberg A. Abdolmaleki Kyunghyun Cho Martin Riedmiller OffRL 77 16 0 23 Jan 2021
E-commerce warehousing: learning a storage policy Adrien Rimélé P. Grangier M. Gamache M. Gendreau Louis-Martin Rousseau 60 8 0 21 Jan 2021
Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask Kanata Suzuki T. Ogata 78 2 0 18 Jan 2021
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning Jinning Li Liting Sun Jianyu Chen Masayoshi Tomizuka Wei Zhan 68 47 0 17 Jan 2021
Adaptive Remote Sensing Image Attribute Learning for Active Object Detection Nuo Xu Chunlei Huo Jiacheng Guo Yiwei Liu Jian Wang Chunhong Pan ObjD 52 4 0 16 Jan 2021