Dueling Network Architectures for Deep Reinforcement Learning

20 November 2015

Papers citing "Dueling Network Architectures for Deep Reinforcement Learning"

50 / 368 papers shown

Title
Distributed Deep Reinforcement Learning: An Overview Mohammad Reza Samsami Hossein Alimadad OffRL 11 27 0 22 Nov 2020
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron P. S. Castro OffRL 9 105 0 20 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani E. Hossain 30 236 0 06 Nov 2020
Federated Knowledge Distillation Hyowoon Seo Jihong Park Seungeun Oh M. Bennis Seong-Lyun Kim FedML 28 90 0 04 Nov 2020
Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time Yuanzhe Geng Erwu Liu Rui-cang Wang Yiming Liu 9 35 0 03 Nov 2020
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking Hongda Shen Eren Kurshan 14 20 0 21 Oct 2020
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning Jonáš Kulhánek Erik Derner Robert Babuška 23 39 0 21 Oct 2020
Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems Gergely Hajgató Gyorgy Paál Bálint Gyires-Tóth 9 27 0 13 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 39 809 0 05 Oct 2020
POMDPs in Continuous Time and Discrete Spaces Bastian Alt M. Schultheis Heinz Koeppl 11 9 0 02 Oct 2020
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices Vu-Linh Nguyen S. B. Orbell D. Lennon H. Moon F. Vigneau ... D. Zumbuhl G. Briggs Michael A. Osborne D. Sejdinovic N. Ares 12 39 0 30 Sep 2020
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices Parth Mannan A. Samajdar T. Krishna 23 2 0 27 Aug 2020
DSP: A Differential Spatial Prediction Scheme for Comprehensive real industrial datasets Junjie Zhang Congdi Zhang N. Xiong 13 0 0 23 Aug 2020
Robust Deep Reinforcement Learning through Adversarial Loss Tuomas P. Oikarinen Wang Zhang Alexandre Megretski Luca Daniel Tsui-Wei Weng AAML 33 92 0 05 Aug 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 22 433 0 03 Aug 2020
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study Teng Liu Xingyu Mu Xiaolin Tang Bingding Huang Hong Wang Dongpu Cao 24 1 0 16 Jul 2020
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning Liang Liu Hao Lu Hongwei Zou Haipeng Xiong Zhiguo Cao Chunhua Shen OffRL 24 70 0 16 Jul 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 19 5 0 12 Jul 2020
Online 3D Bin Packing with Constrained Deep Reinforcement Learning Hang Zhao Qijin She Chenyang Zhu Y. Yang Kai Xu OffRL 19 119 0 26 Jun 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning Eric Steinberger Adam Lerer Noam Brown 28 53 0 18 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations Alexey Skrynnik A. Staroverov Ermek Aitygulov Kirill Aksenov Vasilii Davydov Aleksandr I. Panov OffRL 16 4 0 17 Jun 2020
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections C. Hoel Tommy Tram J. Sjöberg 24 30 0 17 Jun 2020
Reinforcement Learning with Supervision from Noisy Demonstrations Kun-Peng Ning Sheng-Jun Huang 6 7 0 14 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 17 24 0 12 Jun 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 24 30 0 08 Jun 2020
Re-understanding Finite-State Representations of Recurrent Policy Networks Mohamad H. Danesh Anurag Koul Alan Fern Saeed Khorram 28 20 0 06 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 44 225 0 01 Jun 2020
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension Ruosong Wang Ruslan Salakhutdinov Lin F. Yang 23 55 0 21 May 2020
Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm Marc Etheve Zacharie Alès Côme Bissuel Olivier Juan S. Kedad-Sidhoum 8 38 0 20 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 21 63 0 18 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 38 348 0 27 Apr 2020
Automatic low-bit hybrid quantization of neural networks through meta learning Tao Wang Junsong Wang Chang Xu Chao Xue MQ 8 2 0 24 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 13 509 0 30 Mar 2020
Modeling 3D Shapes by Reinforcement Learning Cheng Lin Tingxiang Fan Wenping Wang Matthias Nießner OffRL 3DV 20 36 0 27 Mar 2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks) Piyush B. Gupta Demetris Coleman J. Siegel AAML 29 16 0 24 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 32 37 0 19 Mar 2020
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning Yong Zeng Xiaoli Xu Shi Jin Rui Zhang 9 164 0 17 Mar 2020
Application of Deep Q-Network in Portfolio Management Ziming Gao Yuan Gao Y. Hu Zhengyong Jiang Jionglong Su AIFin 6 49 0 13 Mar 2020
Informative Path Planning for Mobile Sensing with Reinforcement Learning Yongyong Wei Rong Zheng 13 34 0 18 Feb 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon Santiago Gonzalez B. Hodjat Elliot Meyerson Risto Miikkulainen Xin Qiu H. Shahrzad 18 16 0 13 Feb 2020
Robot Navigation with Map-Based Deep Reinforcement Learning Guangda Chen Lifan Pan Yuán Chen Pei Xu Zhiqiang Wang Peichen Wu Jianmin Ji Xiaoping Chen 11 27 0 11 Feb 2020
Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q-learning with monocular vision Jiajun Ou Xiao Guo Ming Zhu Wenjie Lou 16 30 0 10 Feb 2020
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review H. R. Boveiri R. Khayami R. Javidan A. MehdiZadeh 114 134 0 09 Feb 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 29 50 0 14 Jan 2020
Reinforcement Learning via Fenchel-Rockafellar Duality Ofir Nachum Bo Dai OffRL 6 117 0 07 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 34 188 0 23 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 30 34 0 23 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 16 82 0 04 Dec 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 38 204 0 25 Nov 2019
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering Yuval Heffetz Roman Vainshtein Gilad Katz L. Rokach 17 39 0 31 Oct 2019