v1v2v3v4 (latest)

Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,454 papers shown

Title
Deep Reinforcement Learning for Sepsis Treatment Aniruddh Raghu Matthieu Komorowski Imran Ahmed Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OffRL 71 174 0 27 Nov 2017
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 79 265 0 24 Nov 2017
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017 M. Botvinick David Barrett Peter W. Battaglia Nando de Freitas D. Kumaran ... Greg Wayne T. Weber Daan Wierstra Shane Legg Demis Hassabis LRM 94 35 0 22 Nov 2017
Teaching a Machine to Read Maps with Deep Reinforcement Learning Gino Brunner Oliver Richter Yuyi Wang Roger Wattenhofer 3DV 83 52 0 20 Nov 2017
Is prioritized sweeping the better episodic control? Johanni Brea 47 8 0 20 Nov 2017
Scalable Recollections for Continual Lifelong Learning Matthew D Riemer Tim Klinger Djallel Bouneffouf M. Franceschini CLL 78 64 0 17 Nov 2017
Learning to Organize Knowledge and Answer Questions with N-Gram Machines Fan Yang Jiazhong Nie William W. Cohen Ni Lao NAI 76 3 0 17 Nov 2017
Memory Based Online Learning of Deep Representations from Video Streams F. Pernici F. Bartoli Matteo Bruni A. Bimbo CVBM 81 30 0 17 Nov 2017
Data-driven Planning via Imitation Learning Sanjiban Choudhury M. Bhardwaj S. Arora Ashish Kapoor G. Ranade Sebastian Scherer Debadeepta Dey 100 81 0 17 Nov 2017
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems Zachary Chase Lipton Xiujun Li Jianfeng Gao Lihong Li Faisal Ahmed Li Deng 114 172 0 15 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 331 887 0 11 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 85 646 0 10 Nov 2017
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 97 770 0 27 Oct 2017
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning Yuhang Song Mai Xu Songyang Zhang Liangyu Huo 57 3 0 27 Oct 2017
The Effects of Memory Replay in Reinforcement Learning Ruishan Liu James Zou VLM 73 112 0 18 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 112 2,283 0 06 Oct 2017
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning Xiangxiang Chu Hangjun Ye 74 56 0 01 Oct 2017
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning Giuseppe Paolo L. Tai Ming-Yuan Liu 17 7 0 25 Sep 2017
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning Junhong Xu Shangyue Zhu Hanqing Guo Shaoen Wu SSL 31 3 0 22 Sep 2017
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning Kyungjae Lee Sungjoon Choi Songhwai Oh 79 68 0 19 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 114 558 0 18 Sep 2017
Shared Learning : Enhancing Reinforcement in $Q$ -Ensembles Rakesh R Menon Balaraman Ravindran 33 0 0 14 Sep 2017
Deep Reinforcement Learning with Surrogate Agent-Environment Interface Songli Wang Yutao Jing 27 1 0 12 Sep 2017
Autonomous Quadrotor Landing using Deep Reinforcement Learning Riccardo Polvara Massimiliano Patacchiola Sanjay K. Sharma Jian Wan Andrew Manning R. Sutton Angelo Cangelosi 63 48 0 11 Sep 2017
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning Simyung Chang Y. Yoo Jaeseok Choi Nojun Kwak OffRL 15 1 0 05 Sep 2017
Deep Learning for Video Game Playing Niels Justesen Philip Bontrager Julian Togelius S. Risi VLM 101 208 0 25 Aug 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 185 2,830 0 19 Aug 2017
Unsupervised Incremental Learning of Deep Descriptors From Video Streams F. Pernici A. Bimbo CLL CVBM 69 12 0 11 Aug 2017
Deep Reinforcement Learning for Inquiry Dialog Policies with Logical Formula Embeddings Takuya Hiraoka Masaaki Tsuchida Yotaro Watanabe 28 0 0 02 Aug 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot N. Heess Thomas Rothörl Thomas Lampe Martin Riedmiller OffRL 123 671 0 27 Jul 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 108 1,511 0 21 Jul 2017
Lenient Multi-Agent Deep Reinforcement Learning Gregory Palmer K. Tuyls D. Bloembergen Rahul Savani 85 160 0 14 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 219 554 0 13 Jul 2017
Learning Heuristic Search via Imitation M. Bhardwaj Sanjiban Choudhury Sebastian Scherer 71 83 0 10 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 394 2,341 0 05 Jul 2017
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning Haiyan Yin Jianda Chen Sinno Jialin Pan 51 5 0 03 Jul 2017
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes Taylor W. Killian Samuel Daulton George Konidaris Finale Doshi-Velez 117 106 0 20 Jun 2017
Hybrid Reward Architecture for Reinforcement Learning H. V. Seijen Mehdi Fatemi Joshua Romoff Romain Laroche Tavian Barnes Jeffrey Tsang 100 253 0 13 Jun 2017
ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning Hangyu Mao Zhibo Gong Yan Ni Zhen Xiao 87 45 0 10 Jun 2017
Parameter Space Noise for Exploration Matthias Plappert Rein Houthooft Prafulla Dhariwal Szymon Sidor Richard Y. Chen Xi Chen Tamim Asfour Pieter Abbeel Marcin Andrychowicz 122 597 0 06 Jun 2017
Non-Markovian Control with Gated End-to-End Memory Policy Networks J. Perez T. Silander OffRL 67 6 0 31 May 2017
Experience Replay Using Transition Sequences Thommen George Karimpanal Roland Bouffanais OffRL 39 14 0 30 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 58 193 0 23 May 2017
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning Sahil Sharma A. Suresh Rahul Ramesh Balaraman Ravindran OffRL 56 36 0 20 May 2017
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning David Isele Reza Rahimi Akansel Cosgun K. Subramanian K. Fujimura 86 137 0 02 May 2017
Investigating Recurrence and Eligibility Traces in Deep Q-Networks J. Harb Doina Precup 54 21 0 18 Apr 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 76 58 0 15 Apr 2017
Deep Q-learning from Demonstrations Todd Hester Matej Vecerík Olivier Pietquin Marc Lanctot Tom Schaul ... Gabriel Dulac-Arnold Ian Osband J. Agapiou Joel Z Leibo A. Gruslys OffRL 94 157 0 12 Apr 2017
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment Haonan Yu Haichao Zhang Wenyuan Xu LM&Ro 82 25 0 28 Mar 2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations Yunzhu Li Jiaming Song Stefano Ermon 88 44 0 26 Mar 2017