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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
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks Peide Cai Hengli Wang Yuxiang Sun Ming-Yuan Liu GNN 95 39 0 11 Aug 2021
Maximizing Influence with Graph Neural Networks G. Panagopoulos Nikolaos Tziortziotis Michalis Vazirgiannis Fragkiskos D. Malliaros 29 8 0 10 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 58 31 0 10 Aug 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 52 3 0 10 Aug 2021
Modified Double DQN: addressing stability Shervin Halat M. Ebadzadeh 27 2 0 09 Aug 2021
Distilling Neuron Spike with High Temperature in Reinforcement Learning Agents Ling Zhang Jian Cao Yuan Zhang Bohan Zhou Shuo Feng 46 9 0 05 Aug 2021
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training T. Gulrez W. Mansell 26 0 0 04 Aug 2021
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting Jiachen Li Fan Yang Hengbo Ma Srikanth Malla Masayoshi Tomizuka Chiho Choi 91 42 0 03 Aug 2021
Flip Learning: Erase to Segment Yuhao Huang Xin Yang Yuxin Zou Chaoyu Chen Jian Wang Haoran Dou Nishant Ravikumar Alejandro F Frangi Jianqiao Zhou Dong Ni 40 9 0 02 Aug 2021
Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning Bibek Poudel Thomas Watson Weizi Li 60 14 0 31 Jul 2021
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings Sreehari Rammohan Shangqun Yu Bowen He Eric Hsiung Eric Rosen Stefanie Tellex George Konidaris OffRL 18 4 0 28 Jul 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 59 48 0 27 Jul 2021
An Improved Algorithm of Robot Path Planning in Complex Environment Based on Double DQN Fei Zhang Chaochen Gu Fengming Yang 16 11 0 23 Jul 2021
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach Yang Wang Zhen Gao Jun Zhang Xianbin Cao Dezhi Zheng Yue Gao Derrick Wing Kwan Ng M. Di Renzo 70 99 0 23 Jul 2021
A reinforcement learning approach to resource allocation in genomic selection Saba Moeinizade Guiping Hu Lizhi Wang 60 15 0 22 Jul 2021
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control Majid Raeis A. Leon-Garcia 48 13 0 21 Jul 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf BDL OffRL 76 34 0 21 Jul 2021
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards Tim Franzmeyer Mateusz Malinowski João F. Henriques 58 8 0 20 Jul 2021
Active 3D Shape Reconstruction from Vision and Touch Edward James Smith David Meger Luis Villaseñor-Pineda Roberto Calandra Jitendra Malik Adriana Romero M. Drozdzal 93 47 0 20 Jul 2021
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach B. Varga Balázs Kulcsár M. Chehreghani 70 1 0 19 Jul 2021
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration Lukas Schafer Filippos Christianos Josiah P. Hanna Stefano V. Albrecht 92 23 0 19 Jul 2021
High-level Decisions from a Safe Maneuver Catalog with Reinforcement Learning for Safe and Cooperative Automated Merging Danial Kamran Yu Ren Martin Lauer 52 10 0 15 Jul 2021
A Reinforcement Learning Environment for Mathematical Reasoning via Program Synthesis Joseph Palermo Johnny Ye Alok Singh AIMat 97 2 0 15 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 117 92 0 14 Jul 2021
QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning Jakob Stigenberg Vidit Saxena Soma Tayamon E. Ghadimi 28 3 0 14 Jul 2021
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication Hammad Zafar Zoran Utkovski Martin Kasparick S. Stańczak OffRL 29 3 0 13 Jul 2021
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 106 83 0 12 Jul 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 106 68 0 06 Jul 2021
Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking Dafa Ren Xiaoqiang Ren Xiaofan Wang Sundara Tejaswi Digumarti Guodong Shi 21 9 0 06 Jul 2021
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning Muhammad Rizki Maulana W. Lee 46 1 0 05 Jul 2021
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics N. Botteghi M. Poel B. Sirmaçek C. Brune 58 3 0 04 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 73 27 0 04 Jul 2021
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments Anil Berk Altuner Zeynep Hilal Kilimci AIFin 29 15 0 02 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 110 137 0 01 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 76 192 0 01 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 169 101 0 01 Jul 2021
Drone swarm patrolling with uneven coverage requirements C. Piciarelli G. Foresti AI4TS 32 9 0 01 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 116 97 0 29 Jun 2021
Convergent and Efficient Deep Q Network Algorithm Zhikang T. Wang Masahito Ueda 80 12 0 29 Jun 2021
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples Li Meng Anis Yazidi Morten Goodwin P. Engelstad OffRL 26 2 0 28 Jun 2021
Reinforcement Learning for Physical Layer Communications P. Mary V. Koivunen C. Moy AI4CE 38 3 0 22 Jun 2021
Analytically Tractable Bayesian Deep Q-Learning Luong Ha L. Nguyen J. Goulet BDL OffRL 35 2 0 21 Jun 2021
Hi-Phy: A Benchmark for Hierarchical Physical Reasoning Cheng Xue Vimukthini Pinto C. Gamage Peng Zhang Jochen Renz 59 0 0 17 Jun 2021
Modelling resource allocation in uncertain system environment through deep reinforcement learning Neel Gandhi Shakti Mishra 32 1 0 17 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Yue Liu AAML OffRL 85 61 0 17 Jun 2021
Learning Robot Exploration Strategy with 4D Point-Clouds-like Information as Observations Zhaoting Li Tingguang Li Jiankun Wang Max Meng 3DPC 48 2 0 17 Jun 2021
Offline RL Without Off-Policy Evaluation David Brandfonbrener William F. Whitney Rajesh Ranganath Joan Bruna OffRL 110 170 0 16 Jun 2021
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation Martin Gottwald Sven Gronauer Hao Shen Klaus Diepold 36 3 0 16 Jun 2021
User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning Pei Lv Jianqing Fan Xixi Nie Weiming Dong Xiaoheng Jiang Bing Zhou Mingliang Xu Changsheng Xu 57 29 0 14 Jun 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation Scott Fujimoto David Meger Doina Precup 76 17 0 12 Jun 2021