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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
Experience Sharing Between Cooperative Reinforcement Learning Agents Lucas O. Souza G. Ramos C. Ralha 49 9 0 06 Nov 2019
Distributional Reward Decomposition for Reinforcement Learning Zichuan Lin Li Zhao Derek Yang Tao Qin Guangwen Yang Tie-Yan Liu OffRL 57 16 0 06 Nov 2019
Fully Parameterized Quantile Function for Distributional Reinforcement Learning Derek Yang Li Zhao Zichuan Lin Tao Qin Jiang Bian Tie-Yan Liu OOD OffRL 117 136 0 05 Nov 2019
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms Caihua Shan N. Mamoulis Reynold Cheng Guoliang Li Xiang Li Yuqiu Qian OffRL 32 21 0 04 Nov 2019
Online Robustness Training for Deep Reinforcement Learning Marc Fischer M. Mirman Steven Stalder Martin Vechev OnRL 102 41 0 03 Nov 2019
Challenging On Car Racing Problem from OpenAI gym Changmao Li 21 1 0 02 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 115 32 0 01 Nov 2019
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering Yuval Heffetz Roman Vainshtein Gilad Katz Lior Rokach 60 40 0 31 Oct 2019
Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue Yue Ma Xiaojie Wang Zhenjiang Dong Hong Chen BDL 36 2 0 31 Oct 2019
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving Ali Baheri S. Nageshrao H. E. Tseng Ilya Kolmanovsky Anouck Girard Dimitar Filev 54 56 0 28 Oct 2019
Better Exploration with Optimistic Actor-Critic K. Ciosek Q. Vuong R. Loftin Katja Hofmann 77 156 0 28 Oct 2019
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning Xinyue Chen Zijian Zhou Ziyi Wang Che Wang Yanqiu Wu George Andriopoulos OffRL 111 125 0 27 Oct 2019
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations Daniel Seita David M. Chan Roshan Rao Chen Tang Mandi Zhao John F. Canny 42 12 0 26 Oct 2019
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics Shuo Li Osbert Bastani 77 86 0 24 Oct 2019
Learning Q-network for Active Information Acquisition Heejin Jeong Brent Schlotfeldt Hamed Hassani M. Morari Daniel D. Lee George J. Pappas 50 15 0 23 Oct 2019
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning Haodi Zhang Zihang Gao Yi Zhou Haotong Zhang Kaishun Wu Fangzhen Lin AI4CE 59 17 0 22 Oct 2019
HIGhER : Improving instruction following with Hindsight Generation for Experience Replay Geoffrey Cideron Mathieu Seurin Florian Strub Olivier Pietquin 73 37 0 21 Oct 2019
Dealing with Sparse Rewards in Reinforcement Learning J. Hare 64 80 0 21 Oct 2019
Deep Reinforcement Learning Control of Quantum Cartpoles Zhikang T. Wang Yuto Ashida Masahito Ueda 76 40 0 21 Oct 2019
Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach H. T. Nguyen Nguyen Cong Luong Jun Zhao Chau Yuen Dusit Niyato 67 58 0 21 Oct 2019
Reverse Experience Replay Egor Rotinov VLM OffRL 60 11 0 19 Oct 2019
Explainable AI: Deep Reinforcement Learning Agents for Residential Demand Side Cost Savings in Smart Grids Hareesh Kumar P. Mammen K. Ramamritham 58 10 0 19 Oct 2019
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research Ashish Kumar Toby Buckley John B. Lanier Qiaozhi Wang A. Kavelaars Ilya Kuzovkin OffRL 90 14 0 18 Oct 2019
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics Taras Khakhulin R. Schutski Ivan Oseledets 48 0 0 18 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang Brenden K. Petersen H. Zha Daniel Faissol OOD OffRL 125 35 0 17 Oct 2019
Adaptive Trade-Offs in Off-Policy Learning Mark Rowland Will Dabney Rémi Munos OffRL 131 22 0 16 Oct 2019
Parallel Exploration via Negatively Correlated Search Peng Yang Qi Yang K. Tang Xin Yao 125 14 0 16 Oct 2019
On the Reduction of Variance and Overestimation of Deep Q-Learning Mohammed Sabry A. A. A. Khalifa OOD OffRL 67 12 0 14 Oct 2019
Extracting Incentives from Black-Box Decisions Yonadav Shavit William S. Moses 49 9 0 13 Oct 2019
Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning Aqeel Anwar A. Raychowdhury 83 74 0 12 Oct 2019
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey Bin Qian Jie Su Z. Wen D. N. Jha Yinhao Li ... Albert Y. Zomaya Omer F. Rana Lizhe Wang Maciej Koutny R. Ranjan 71 4 0 11 Oct 2019
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model Dong Chen Longsheng Jiang Yue Wang Zhaojian Li 55 62 0 10 Oct 2019
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound Haoran Dou Xin Yang Jikuan Qian Wufeng Xue Hao Qin ... Lequan Yu Shujun Wang Yi Xiong Pheng-Ann Heng Dong Ni 56 30 0 10 Oct 2019
Hierarchical Deep Double Q-Routing Ramy E. Ali B. Erman Ejder Bastug Bruce Cilli 46 17 0 09 Oct 2019
Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures Hengyue Liang Xibai Lou Yang Yang Changhyun Choi OOD 70 16 0 09 Oct 2019
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books Haoran Wei Yuanbo Wang L. Mangu Keith S. Decker 65 25 0 09 Oct 2019
Ctrl-Z: Recovering from Instability in Reinforcement Learning Vibhavari Dasagi Jake Bruce T. Peynot Jurgen Leitner 53 10 0 09 Oct 2019
Multi-step Greedy Reinforcement Learning Algorithms Manan Tomar Yonathan Efroni Mohammad Ghavamzadeh 91 1 0 07 Oct 2019
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions Petros Christodoulou R. T. Lange A. Shafti A. Faisal 43 1 0 07 Oct 2019
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching Ming Zhou Jiarui Jin Weinan Zhang Zhiwei Qin Yan Jiao Chenxi Wang Guobin Wu Yong Yu Jieping Ye 48 89 0 07 Oct 2019
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling Che Wang Yanqiu Wu Q. Vuong George Andriopoulos 36 6 0 05 Oct 2019
I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action Mathieu Seurin Philippe Preux Olivier Pietquin 47 12 0 04 Oct 2019
Deep Q-Network for Angry Birds L. Sy S. Redmond 43 5 0 04 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 74 185 0 03 Oct 2019
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics J. Ackermann Pau Cebrian Antonio Espinosa Masashi Sugiyama OffRL 64 122 0 03 Oct 2019
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning Huixin Zhan Yongcan Cao 66 7 0 02 Oct 2019
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning P. Khanna Guy Tennenholtz Nadav Merlis Shie Mannor Chen Tessler OffRL 26 1 0 02 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 139 449 0 02 Oct 2019
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems Hardik Meisheri Vinita Baniwal Nazneen N. Sultana Balaraman Ravindran H. Khadilkar OffRL 28 2 0 01 Oct 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 174 570 0 01 Oct 2019