Deep Reinforcement Learning with Double Q-learning

22 September 2015

David Silver

Papers citing "Deep Reinforcement Learning with Double Q-learning"

50 / 933 papers shown

Title
Selective Experience Replay for Lifelong Learning David Isele Akansel Cosgun CLL 43 449 0 28 Feb 2018
Fourier Policy Gradients M. Fellows K. Ciosek Shimon Whiteson 35 15 0 19 Feb 2018
Sim-to-Real Optimization of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play Yongxi Tan Jin Yang Xin Chen Qitao Song Yunjun Chen Zhangxiang Ye Zhenqiang Su 22 2 0 18 Feb 2018
More Robust Doubly Robust Off-policy Evaluation Mehrdad Farajtabar Yinlam Chow Mohammad Ghavamzadeh OffRL 20 264 0 10 Feb 2018
Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis Brenden K. Petersen Jiachen Yang Will Grathwohl Chase Cockrell Claudio Santiago G. An Daniel Faissol AI4CE 15 26 0 08 Feb 2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments Per-Arne Andersen 18 16 0 29 Jan 2018
FlashRL: A Reinforcement Learning Platform for Flash Games Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo VLM 29 2 0 26 Jan 2018
Experience-driven Networking: A Deep Reinforcement Learning based Approach Zhiyuan Xu Jian Tang Jingsong Meng Weiyi Zhang Yanzhi Wang C. Liu Dejun Yang OffRL 35 359 0 17 Jan 2018
Deep In-GPU Experience Replay Ben Parr OffRL VLM 16 2 0 09 Jan 2018
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation Lex Fridman Jack Terwilliger Benedikt Jenik 32 24 0 09 Jan 2018
Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors Benjamin Spector Serge J. Belongie OffRL 22 15 0 07 Jan 2018
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, & Snapshot Ensembling Christopher Schulze Marcus Schulze 31 32 0 03 Jan 2018
Learning in the Machine: the Symmetries of the Deep Learning Channel Pierre Baldi Peter Sadowski Zhiqin Lu 26 30 0 22 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 47 686 0 18 Dec 2017
Deep Reinforcement Learning Boosted by External Knowledge Nicolas Bougie R. Ichise OffRL 25 15 0 12 Dec 2017
Learning Robust Dialog Policies in Noisy Environments Maryam Fazel-Zarandi Shang-Wen Li Jin Cao Jared Casale Peter Henderson David Whitney A. Geramifard 41 24 0 11 Dec 2017
Music Generation by Deep Learning - Challenges and Directions Jean-Pierre Briot F. Pachet MGen 43 127 0 09 Dec 2017
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 40 10 0 30 Nov 2017
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 22 260 0 24 Nov 2017
Teaching a Machine to Read Maps with Deep Reinforcement Learning Gino Brunner Oliver Richter Yuyi Wang Roger Wattenhofer 3DV 27 52 0 20 Nov 2017
Data-driven Planning via Imitation Learning Sanjiban Choudhury M. Bhardwaj S. Arora Ashish Kapoor G. Ranade Sebastian Scherer Debadeepta Dey 46 80 0 17 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 92 1,067 0 12 Nov 2017
Applications of Deep Learning and Reinforcement Learning to Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain S. Vassanelli OffRL AI4CE 41 641 0 10 Nov 2017
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 52 749 0 27 Oct 2017
Exploration in Feature Space for Reinforcement Learning S. N. Sasikumar 60 4 0 05 Oct 2017
Deep Abstract Q-Networks Melrose Roderick Christopher Grimm Stefanie Tellex 35 33 0 02 Oct 2017
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces Garrett A. Warnell Nicholas R. Waytowich Vernon J. Lawhern Peter Stone 18 267 0 28 Sep 2017
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks Aditya Gudimella Ross Story M. Shaker Ruofan Kong Matthew A. Brown Victor Shnayder Marcos Campos 34 24 0 20 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 39 544 0 18 Sep 2017
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning Zhiguang Wang C. Gwon Tim Oates A. Iezzi 24 23 0 13 Sep 2017
Deep Reinforcement Learning with Surrogate Agent-Environment Interface Songli Wang Yutao Jing 25 1 0 12 Sep 2017
Combining Strategic Learning and Tactical Search in Real-Time Strategy Games Nicolas A. Barriga Marius Stanescu M. Buro 24 40 0 11 Sep 2017
Deep Learning Techniques for Music Generation -- A Survey Jean-Pierre Briot Gaëtan Hadjeres F. Pachet MGen 42 298 0 05 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning Felix Leibfried Jordi Grau-Moya Haitham Bou-Ammar 38 24 0 06 Aug 2017
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention William Saunders Girish Sastry Andreas Stuhlmuller Owain Evans OffRL 35 229 0 17 Jul 2017
Distral: Robust Multitask Reinforcement Learning Yee Whye Teh V. Bapst Wojciech M. Czarnecki John Quan J. Kirkpatrick R. Hadsell N. Heess Razvan Pascanu 65 546 0 13 Jul 2017
Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management Pei-hao Su Paweł Budzianowski Stefan Ultes Milica Gasic S. Young OffRL 24 129 0 01 Jul 2017
Count-Based Exploration in Feature Space for Reinforcement Learning Jarryd Martin S. N. Sasikumar Tom Everitt Marcus Hutter 24 122 0 25 Jun 2017
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning Nick Erickson Qi Zhao CLL OffRL 240 2 0 19 Jun 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 37 230 0 14 Jun 2017
The Atari Grand Challenge Dataset Vitaly Kurin Sebastian Nowozin Katja Hofmann Lucas Beyer Bastian Leibe OffRL 23 43 0 31 May 2017
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach Aniruddh Raghu Matthieu Komorowski Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OffRL 21 192 0 23 May 2017
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning A. Gruslys Will Dabney M. G. Azar Bilal Piot Marc G. Bellemare Rémi Munos 21 58 0 15 Apr 2017
Deep Deterministic Policy Gradient for Urban Traffic Light Control Noe Casas 32 165 0 27 Mar 2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs Michael Gygli Mohammad Norouzi A. Angelova TDI 24 68 0 13 Mar 2017
Deep Robust Kalman Filter Shirli Di-Castro Shashua Shie Mannor BDL 38 28 0 07 Mar 2017
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 35 345 0 06 Mar 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 40 235 0 06 Mar 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 50 614 0 03 Mar 2017