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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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Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision Ali Taghibakhshi Nathan Ogden Matthew West 24 4 0 15 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 29 42 0 14 Jan 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems Junya Ikemoto T. Ushio OffRL 46 5 0 13 Jan 2021
Linear Representation Meta-Reinforcement Learning for Instant Adaptation Matt Peng Banghua Zhu Jiantao Jiao 80 9 0 12 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 61 7 0 12 Jan 2021
Action Priors for Large Action Spaces in Robotics Ondrej Biza Dian Wang Robert Platt Jan-Willem van de Meent Lawson L. S. Wong 78 14 0 11 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 133 74 0 08 Jan 2021
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning E. Abolfathi Jun Luo Peyman Yadmellat K. Rezaee OnRL 49 3 0 07 Jan 2021
Deep Reinforcement Learning with Quantum-inspired Experience Replay Qing Wei Hailan Ma Chunlin Chen D. Dong 60 72 0 06 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 147 159 0 06 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 68 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 123 75 0 01 Jan 2021
POPO: Pessimistic Offline Policy Optimization Qiang He Xinwen Hou OffRL 85 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 83 4 0 24 Dec 2020
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning Pascal Leroy D. Ernst Pierre Geurts Gilles Louppe J. Pisane M. Sabatelli 53 6 0 22 Dec 2020
Self-Imitation Advantage Learning Johan Ferret Olivier Pietquin Matthieu Geist 169 20 0 22 Dec 2020
Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning Inaam Ilahi Muhammad Usama M. Farooq M. Janjua Junaid Qadir 23 17 0 22 Dec 2020
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer Wei Cui Wei Yu 30 10 0 22 Dec 2020
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty Aravind Venugopal Elizabeth Bondi-Kelly Harshavardhan Kamarthi Keval Dholakia Balaraman Ravindran Milind Tambe 49 6 0 18 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 55 23 0 17 Dec 2020
Stabilizing Q Learning Via Soft Mellowmax Operator Yaozhong Gan Zhe Zhang Xiaoyang Tan 46 7 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 87 60 0 16 Dec 2020
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation Diksha Garg Priyanka Gupta Pankaj Malhotra Lovekesh Vig Gautam M. Shroff OffRL 42 8 0 16 Dec 2020
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching Chang-rui Liu Zetian Jiang Runzhong Wang Junchi Yan Lingxiao Huang Pinyan Lu 133 10 0 16 Dec 2020
Learning active learning at the crossroads? evaluation and discussion L. Desreumaux V. Lemaire 77 12 0 16 Dec 2020
Policy Gradient RL Algorithms as Directed Acyclic Graphs J. Luis 61 0 0 14 Dec 2020
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information Douglas De Rizzo Meneghetti Reinaldo A. C. Bianchi AI4CE 47 0 0 14 Dec 2020
Multi-expert learning of adaptive legged locomotion Chuanyu Yang Kai Yuan Qiuguo Zhu Wanming Yu Zhibin Li 178 188 0 10 Dec 2020
Transfer Learning for Efficient Iterative Safety Validation Anthony Corso Mykel J. Kochenderfer 68 5 0 09 Dec 2020
Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory Griffin Adams Sarguna Padmanabhan S. Shekhar 29 1 0 08 Dec 2020
SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation Yiqing Liang Boyuan Chen Shuran Song 119 67 0 08 Dec 2020
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways Branka Mirchevska Maria Hügle Gabriel Kalweit M. Werling Joschka Boedecker 52 7 0 06 Dec 2020
A Review of Designs and Applications of Echo State Networks Chenxi Sun Moxian Song linda Qiao Hongyan Li AAML 22 34 0 05 Dec 2020
Proximal Policy Optimization Smoothed Algorithm Wangshu Zhu A. Rosendo 18 2 0 04 Dec 2020
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning Weiming Liu Bin Li Julian Togelius 83 8 0 03 Dec 2020
Self-correcting Q-Learning Rong Zhu Mattia Rigotti 41 19 0 02 Dec 2020
Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning Soheil Khatibi Meisam Teimouri Mahdi Rezaei 16 5 0 27 Nov 2020
A survey of benchmarking frameworks for reinforcement learning B. Stapelberg K. Malan OffRL 44 3 0 27 Nov 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 77 25 0 27 Nov 2020
Unsupervised Object Keypoint Learning using Local Spatial Predictability Anand Gopalakrishnan Sjoerd van Steenkiste Jürgen Schmidhuber SSL 66 21 0 25 Nov 2020
Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation Thibault Cordier Tanguy Urvoy L. Rojas-Barahona F. Lefèvre 128 5 0 25 Nov 2020
C-Learning: Horizon-Aware Cumulative Accessibility Estimation Panteha Naderian Gabriel Loaiza-Ganem H. Braviner Anthony L. Caterini Jesse C. Cresswell Tong Li Animesh Garg 80 1 0 24 Nov 2020
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer Carlos H. C. Pena Mateus G. Machado M. S. Barros José D. P. Silva Lucas D. Maciel Ing Ren Tsang Edna N. S. Barros Pedro H. M. Braga H. Bassani 57 2 0 23 Nov 2020
Distributed Deep Reinforcement Learning: An Overview Mohammad Reza Samsami Hossein Alimadad OffRL 43 27 0 22 Nov 2020
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron Pablo Samuel Castro OffRL 92 109 0 20 Nov 2020
Trajectory and Passive Beamforming Design for IRS-aided Multi-Robot NOMA Indoor Networks Xinyu Gao Yuanwei Liu Xidong Mu 14 8 0 18 Nov 2020
Weighted Entropy Modification for Soft Actor-Critic Yizhou Zhao Song-Chun Zhu 35 1 0 18 Nov 2020
Leveraging the Variance of Return Sequences for Exploration Policy Zerong Xi G. Sukthankar 21 0 0 17 Nov 2020
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee Minghao Han Yuan Tian Lixian Zhang Jun Wang Wei Pan 68 49 0 13 Nov 2020
Steady State Analysis of Episodic Reinforcement Learning Bojun Huang OffRL 54 23 0 12 Nov 2020