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
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving C. Hoel Krister Wolff L. Laine UQCV EDL 37 40 0 21 May 2021
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms Xiaocheng Tang Fan Zhang Zhiwei Qin Yansheng Wang D. Shi Bingchen Song Yongxin Tong Hongtu Zhu Jieping Ye OffRL 37 47 0 18 May 2021
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian Dalca Yisong Yue Katherine Bouman 30 19 0 13 May 2021
Target-Following Double Deep Q-Networks for UAVs Sarthak Bhagat P. B. Sujit 50 0 0 12 May 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective Florin Gogianu Tudor Berariu Mihaela Rosca Claudia Clopath L. Buşoniu Razvan Pascanu 37 54 0 11 May 2021
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments Xiaolong Wei Lifang Yang Xianglin Huang Gang Cao Zhulin Tao Zhengyang Du Jing An 34 6 0 11 May 2021
Robotic Surgery With Lean Reinforcement Learning Yotam Barnoy Molly O'Brien Wenjie Wang Gregory D. Hager OffRL 52 21 0 03 May 2021
Constructions in combinatorics via neural networks Adam Zsolt Wagner BDL 32 50 0 29 Apr 2021
A Deep Reinforcement Learning Approach for the Meal Delivery Problem H. Jahanshahi Aysun Bozanta Mucahit Cevik E. M. Kavuk Ayse Tosun Misirli Sibel B. Sonuc Bilgin Kosucu Ayse Basar 53 28 0 24 Apr 2021
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem Chengwei Zhang Shan Jin Wanli Xue Xiaofei Xie Shengyong Chen Rong Chen 42 24 0 22 Apr 2021
SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing Davide Callegaro Marco Levorato Francesco Restuccia 14 11 0 22 Apr 2021
Learning on a Budget via Teacher Imitation Ercüment Ilhan Jeremy Gow Diego Perez-Liebana OffRL 41 2 0 17 Apr 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Danilo Numeroso D. Bacciu 34 39 0 16 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks Hao Peng Ruitong Zhang Yingtong Dou Renyu Yang Jingyi Zhang Philip S. Yu 72 115 0 16 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 55 129 0 01 Apr 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL Iretiayo Akinola Zizhao Wang Peter K. Allen 42 2 0 24 Mar 2021
Spatial Intention Maps for Multi-Agent Mobile Manipulation Jimmy Wu Xingyuan Sun Andy Zeng Shuran Song Szymon Rusinkiewicz Thomas Funkhouser 39 23 0 23 Mar 2021
Regularized Softmax Deep Multi-Agent $Q$ -Learning L. Pan Tabish Rashid Bei Peng Longbo Huang Shimon Whiteson 49 31 0 22 Mar 2021
Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild Zhao-Heng Yin Jia Zheng Weixin Luo Shenhan Qian Hanling Zhang Shenghua Gao VOS 27 17 0 18 Mar 2021
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning Zhihao Ma Yuzheng Zhuang Paul Weng Hankui Zhuo Dong Li Wulong Liu Jianye Hao NAI 56 14 0 15 Mar 2021
A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance Jeremy Roghair Kyungtae Ko Amir Ehsan Niaraki Asli Ali Jannesari 30 33 0 11 Mar 2021
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning Patrick Wenzel Torsten Schön Laura Leal-Taixé Daniel Cremers 33 36 0 08 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 39 48 0 08 Mar 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen Kimin Lee A. Srinivas Pieter Abbeel OffRL 29 11 0 04 Mar 2021
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph Xin Ye Yezhou Yang 44 23 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 55 14 0 01 Mar 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 31 14 0 18 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 22 7 0 16 Feb 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 42 39 0 16 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 25 11 0 12 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 25 6 0 10 Feb 2021
Reinforcement Learning For Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku) Anav Mehta AI4CE 29 4 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 59 145 0 08 Feb 2021
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios Chengmin Zhou Bingding Huang Pasi Fränti 30 1 0 05 Feb 2021
Acting in Delayed Environments with Non-Stationary Markov Policies E. Derman Gal Dalal Shie Mannor 32 34 0 28 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 34 13 0 23 Jan 2021
E-commerce warehousing: learning a storage policy Adrien Rimélé P. Grangier M. Gamache M. Gendreau Louis-Martin Rousseau 41 6 0 21 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 25 4 0 16 Jan 2021
Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning Tongyu Zong Chen Li Yuanyuan Lei Guangyu Li Houwei Cao Yong Liu 11 41 0 14 Jan 2021
Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem Michael Allen K. Pearn T. Monks OOD 49 6 0 12 Jan 2021
Evolving Reinforcement Learning Algorithms John D. Co-Reyes Yingjie Miao Daiyi Peng Esteban Real Sergey Levine Quoc V. Le Honglak Lee Aleksandra Faust 53 74 0 08 Jan 2021
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays Qiyu Hu Yanzhen Liu Yunlong Cai Guanding Yu Z. Ding 34 50 0 05 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 62 73 0 01 Jan 2021
POPO: Pessimistic Offline Policy Optimization Qiang He Xinwen Hou OffRL 45 10 0 26 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 27 4 0 24 Dec 2020
Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL Simon Hirlaender N. Bruchon 19 23 0 17 Dec 2020
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation Chaochao Lu Erdun Gao Ke Wang José Miguel Hernández-Lobato Kun Zhang Bernhard Schölkopf CML OOD OffRL 49 57 0 16 Dec 2020
Policy Gradient RL Algorithms as Directed Acyclic Graphs J. Luis 31 0 0 14 Dec 2020
Multi-expert learning of adaptive legged locomotion Chuanyu Yang Kai Yuan Qiuguo Zhu Wanming Yu Zhibin Li 111 184 0 10 Dec 2020
Transfer Learning for Efficient Iterative Safety Validation Anthony Corso Mykel J. Kochenderfer 29 5 0 09 Dec 2020