Deep Reinforcement Learning with Double Q-learning

22 September 2015

David Silver

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

50 / 946 papers shown

Title
Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning Joshua Aurand Steven Cutlip Henry Lei Kendra A. Lang S. Phillips 29 6 0 27 Feb 2023
Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning N. Chu Diep N. Nguyen D. Hoang Khoa T. Phan E. Dutkiewicz Dusit Niyato Tao Shu 17 7 0 27 Feb 2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework C. Cunha Wen Liu T. French Ajmal Mian 36 1 0 26 Feb 2023
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation Zhifa Ke Junyu Zhang Zaiwen Wen 24 0 0 25 Feb 2023
Using Automated Algorithm Configuration for Parameter Control D. Chen M. Buzdalov Carola Doerr Nguyen Dang 36 4 0 23 Feb 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 46 38 0 21 Feb 2023
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot Tao Huang Kai-xiang Chen Bin Li Yunhui Liu Qingxu Dou 40 23 0 20 Feb 2023
Backstepping Temporal Difference Learning Han-Dong Lim Dong-hwan Lee OffRL 41 2 0 20 Feb 2023
Robot path planning using deep reinforcement learning Miguel Quinones-Ramirez Jorge Ríos-Martínez Víctor Uc Cetina SSL 30 5 0 17 Feb 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 46 9 0 14 Feb 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du Olivia Watkins Zihan Wang Cédric Colas Trevor Darrell Pieter Abbeel Abhishek Gupta Jacob Andreas LM&Ro 27 176 0 13 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 43 8 0 13 Feb 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer Allen Z. Ren Hongkai Dai Benjamin Burchfiel Anirudha Majumdar 32 14 0 09 Feb 2023
Efficient Online Reinforcement Learning with Offline Data Philip J. Ball Laura M. Smith Ilya Kostrikov Sergey Levine OffRL OnRL 53 163 0 06 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 55 0 0 04 Feb 2023
Serious Games and AI: Challenges and Opportunities for Computational Social Science Jaime Pérez Mario Castro Gregorio López 29 16 0 01 Feb 2023
Anti-Exploration by Random Network Distillation Alexander Nikulin Vladislav Kurenkov Denis Tarasov Sergey Kolesnikov 42 24 0 31 Jan 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 34 1 0 31 Jan 2023
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning Settings Sudhir Pratap Yadav R. Nagar S. Shah OffRL 29 3 0 31 Jan 2023
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 41 3 0 30 Jan 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 30 4 0 29 Jan 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang Chi Zhang Wenjia Wang Bing-Yi Jing OffRL 40 7 0 28 Jan 2023
A Memory Efficient Deep Reinforcement Learning Approach For Snake Game Autonomous Agents Md. Rafat Rahman Tushar Shahnewaz Siddique 31 5 0 27 Jan 2023
Modeling human road crossing decisions as reward maximization with visual perception limitations Yueyang Wang Aravinda Ramakrishnan Srinivasan Jussi P. P. Jokinen Antti Oulasvirta Gustav Markkula 29 4 0 27 Jan 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 26 20 0 26 Jan 2023
Double Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Linda Dotto de Moraes V. A. Kich A. H. Kolling J. A. Bottega Raul Steinmetz E. Silva Ricardo B. Grando Anselmo Rafael Cuckla D. T. Gamarra 23 0 0 26 Jan 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 29 0 0 26 Jan 2023
Privacy-Aware Load Balancing in Fog Networks: A Reinforcement Learning Approach Maad Ebrahim A. Hafid 37 4 0 23 Jan 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 23 0 0 19 Jan 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association Qiong Wu Xu Chen Ouyang Tao Zhi Zhou Xiaoxi Zhang Shusen Yang Junshan Zhang 42 44 0 16 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 52 5 0 05 Jan 2023
Enhancing Federated Learning with spectrum allocation optimization and device selection Tinghao Zhang Kwok-Yan Lam Jun Zhao Feng-Qiang Li Huimei Han N. Jamil 38 11 0 27 Dec 2022
Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators Harshali Agarwal Heena Rathore 38 3 0 25 Dec 2022
A Comprehensive Review on Autonomous Navigation Saeid Nahavandi R. Alizadehsani D. Nahavandi Shady M. K. Mohamed N. Mohajer Mohammad Rokonuzzaman Ibrahim Hossain 35 23 0 24 Dec 2022
Near-optimal Policy Identification in Active Reinforcement Learning Xiang Li Viraj Mehta Johannes Kirschner I. Char Willie Neiswanger J. Schneider Andreas Krause Ilija Bogunovic OffRL 48 6 0 19 Dec 2022
Safe Evaluation For Offline Learning: Are We Ready To Deploy? Hager Radi Josiah P. Hanna Peter Stone Matthew E. Taylor OffRL ELM 39 0 0 16 Dec 2022
Improving generalization in reinforcement learning through forked agents Olivier Moulin Vincent François-Lavet Mark Hoogendoorn AI4CE 28 0 0 13 Dec 2022
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems Xin Liu Honghao Wei Lei Ying 47 6 0 13 Dec 2022
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration Qisheng Zhang Zhen Guo A. Jøsang Lance M. Kaplan F. Chen Dong-Ho Jeong Jin-Hee Cho 25 0 0 13 Dec 2022
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization Xiaodong Li Pangjing Wu Chenxin Zou Qing Li 27 3 0 11 Dec 2022
Generalizing LTL Instructions via Future Dependent Options Duo Xu Faramarz Fekri OffRL AI4CE 29 1 0 08 Dec 2022
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks Jie Zou Jiashu Lou Baohua Wang Sixue Liu AIFin 29 28 0 06 Dec 2022
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation Soysal Degirmenci Chris Jones OffRL 27 1 0 05 Dec 2022
Learning Bifunctional Push-grasping Synergistic Strategy for Goal-agnostic and Goal-oriented Tasks Dafa Ren Shuang Wu Xiaofan Wang Yan Peng Xiaoqiang Ren 19 8 0 04 Dec 2022
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics Cooper Lorsung A. Farimani AI4CE 31 0 0 02 Dec 2022
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 34 1 0 02 Dec 2022
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments Christian Bitter Timo Thun Tobias Meisen 36 1 0 01 Dec 2022
Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System Cooper Cone Michael Owen Luis E. Alvarez Marc Brittain 32 2 0 01 Dec 2022
Analysis of Anomalous Behavior in Network Systems Using Deep Reinforcement Learning with CNN Architecture Mohammad Hossein Modirrousta Parisa Forghani M. A. Shoorehdeli 37 0 0 29 Nov 2022
Causal Deep Reinforcement Learning Using Observational Data Wenxuan Zhu Chao Yu Qiaosheng Zhang CML OffRL 26 5 0 28 Nov 2022