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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
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks Shai Keynan Elad Sarafian Sarit Kraus OffRL 93 30 0 12 Jun 2021
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning Jiajun Fan Changnan Xiao Yue Huang OffRL 91 10 0 11 Jun 2021
Taylor Expansion of Discount Factors Yunhao Tang Mark Rowland Rémi Munos Michal Valko OffRL 63 5 0 11 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Helen Zhou Ji Liu 71 117 0 11 Jun 2021
Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning Daniel J. B. Harrold Jun Cao Zhong Fan 49 49 0 10 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 79 4 0 10 Jun 2021
Simplifying Deep Reinforcement Learning via Self-Supervision Daochen Zha Kwei-Herng Lai Kaixiong Zhou Helen Zhou SSL 94 15 0 10 Jun 2021
TempoRL: Learning When to Act André Biedenkapp Raghunandan Rajan Frank Hutter Marius Lindauer OffRL 51 30 0 09 Jun 2021
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Yanchao Sun Ruijie Zheng Yongyuan Liang Furong Huang AAML 82 68 0 09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 113 118 0 09 Jun 2021
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles Kasra Mokhtari Alan R. Wagner 63 5 0 08 Jun 2021
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection Kasra Mokhtari Alan R. Wagner 62 9 0 08 Jun 2021
A Deep Value-network Based Approach for Multi-Driver Order Dispatching Xiaocheng Tang Zhiwei Qin Fan Zhang Zhaodong Wang Zhe Xu Yintai Ma Hongtu Zhu Jieping Ye OffRL 70 183 0 08 Jun 2021
Dynamic Sparse Training for Deep Reinforcement Learning Ghada Sokar Elena Mocanu Decebal Constantin Mocanu Mykola Pechenizkiy Peter Stone 108 60 0 08 Jun 2021
XIRL: Cross-embodiment Inverse Reinforcement Learning Kevin Zakka Andy Zeng Peter R. Florence Jonathan Tompson Jeannette Bohg Debidatta Dwibedi SSL 103 122 0 07 Jun 2021
Towards robust and domain agnostic reinforcement learning competitions William H. Guss Stephanie Milani Nicholay Topin Brandon Houghton Sharada Mohanty ... Lu Liu Daichi Nishio Toi Tsuneda Karolis Ramanauskas Gabija Juceviciute OOD 66 2 0 07 Jun 2021
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps Chengguang Xu Chris Amato Lawson L. S. Wong 56 6 0 07 Jun 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning Kai Wang Sanket Shah Haipeng Chen Andrew Perrault Finale Doshi-Velez Milind Tambe OffRL 121 6 0 06 Jun 2021
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks Thibaut Théate Antoine Wehenkel Adrien Bolland Gilles Louppe D. Ernst 49 7 0 06 Jun 2021
Efficient Continuous Control with Double Actors and Regularized Critics Jiafei Lyu Xiaoteng Ma Jiangpeng Yan Xiu Li OffRL 47 50 0 06 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 84 47 0 05 Jun 2021
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning Mingde Zhao Zhen Liu Sitao Luan Shuyuan Zhang Doina Precup Yoshua Bengio 134 37 0 03 Jun 2021
Iterative Empirical Game Solving via Single Policy Best Response Max O. Smith Thomas W. Anthony Michael P. Wellman 76 18 0 03 Jun 2021
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning Ali Taghibakhshi S. MacLachlan Luke N. Olson Matthew West AI4CE 62 31 0 03 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 62 4 0 03 Jun 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 93 23 0 02 Jun 2021
Smooth Q-learning: Accelerate Convergence of Q-learning Using Similarity Wei-zhi Liao Xiaohui Wei Jizhou Lai 18 3 0 02 Jun 2021
Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review Tidor-Vlad Pricope AIFin 78 36 0 31 May 2021
Policies for the Dynamic Traveling Maintainer Problem with Alerts P. Costa Peter Verleijsdonk Simon Voorberg A. Akçay S. Kapodistria W. Jaarsveld Yingqian Zhang 56 6 0 31 May 2021
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications Nguyen Quang Hieu D. Hoang Dusit Niyato Ping Wang Dong In Kim Chau Yuen 61 28 0 28 May 2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation Siyuan Guo Lixin Zou Yiding Liu Wenwen Ye Suqi Cheng Shuaiqiang Wang Hechang Chen D. Yin Yi-Ju Chang 70 93 0 28 May 2021
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning Deep Thomas Daniil Olshanskyi Karter Krueger Tichakorn Wongpiromsarn Ali Jannesari 88 5 0 25 May 2021
Room Clearance with Feudal Hierarchical Reinforcement Learning Henry Charlesworth Adrian Millea Edward Pottrill R. Riley AI4CE 11 0 0 24 May 2021
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound Xin Yang Yuhao Huang Ruobing Huang Haoran Dou Rui Li ... Chaoyu Chen Yuanji Zhang Haixia Wang Yi Xiong Dong Ni 50 17 0 22 May 2021
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving C. Hoel Krister Wolff L. Laine UQCV EDL 68 42 0 21 May 2021
Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering A. Fathan Erick Delage OffRL 54 6 0 19 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 54 48 0 18 May 2021
Application of deep reinforcement learning for Indian stock trading automation Supriya Bajpai AIFin 19 6 0 18 May 2021
Controlling an Inverted Pendulum with Policy Gradient Methods-A Tutorial Swagat Kumar 25 2 0 17 May 2021
Generic Itemset Mining Based on Reinforcement Learning Kazuma Fujioka Kimiaki Shirahama 30 3 0 17 May 2021
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian Dalca Yisong Yue Katherine Bouman 87 20 0 13 May 2021
Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation Tasks Zhihao Li Zhenglong Sun Jionglong SU Jiaming Zhang 35 3 0 12 May 2021
Target-Following Double Deep Q-Networks for UAVs Sarthak Bhagat P. B. Sujit 64 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 86 56 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 46 6 0 11 May 2021
Scalable, Decentralized Multi-Agent Reinforcement Learning Methods Inspired by Stigmergy and Ant Colonies Austin Nguyen 37 1 0 08 May 2021
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions Taisei Hashimoto Yoshimasa Tsuruoka 29 0 0 07 May 2021
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning Yeonji Kim Min Chi 19 0 0 06 May 2021
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning Marc Aurel Vischer R. T. Lange Henning Sprekeler OOD UQCV OffRL 91 25 0 04 May 2021
Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments Ashley Peake Joe McCalmon Yixin Zhang Daniel Myers Sarra M. Alqahtani V. P. Pauca 37 4 0 04 May 2021