Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

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Title
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning Yunhao Tang A. Kucukelbir OffRL 27 16 0 13 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 33 24 0 12 Jun 2020
Continuous Control for Searching and Planning with a Learned Model Xuxi Yang Werner Duvaud Peng Wei 33 5 0 12 Jun 2020
Bayesian Experience Reuse for Learning from Multiple Demonstrators Michael Gimelfarb Scott Sanner Chi-Guhn Lee 11 0 0 10 Jun 2020
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors Chi Zhang S. Kuppannagari Viktor Prasanna 22 4 0 08 Jun 2020
Balancing a CartPole System with Reinforcement Learning -- A Tutorial S. Kumar 19 23 0 08 Jun 2020
A Comparison of Self-Play Algorithms Under a Generalized Framework Daniel Hernández Kevin Denamganai Sam Devlin Spyridon Samothrakis James Alfred Walker 19 12 0 08 Jun 2020
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars Ran Emuna A. Borowsky Armin Biess 42 22 0 07 Jun 2020
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization Quentin Cappart Thierry Moisan Louis-Martin Rousseau Isabeau Prémont-Schwarz A. Ciré 26 138 0 02 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 65 225 0 01 Jun 2020
Manipulating the Distributions of Experience used for Self-Play Learning in Expert Iteration Dennis J. N. J. Soemers Éric Piette Matthew Stephenson C. Browne OffRL 14 6 0 30 May 2020
Reinforcement Learning Olivier Buffer Olivier Pietquin Paul Weng OffRL 9 1 0 29 May 2020
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic Maxime Bouton A. Nakhaei David Isele K. Fujimura Mykel J. Kochenderfer 17 34 0 25 May 2020
Learning visual servo policies via planner cloning Ulrich Viereck Kate Saenko Robert Platt OffRL 11 2 0 24 May 2020
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension Ruosong Wang Ruslan Salakhutdinov Lin F. Yang 25 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 16 38 0 20 May 2020
Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning Jixuan Zhi Jyh-Ming Lien 9 29 0 19 May 2020
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning Zhenhui Ye Yining Chen Guang-hua Song Bowei Yang Sheng Fan OffRL 28 7 0 19 May 2020
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation Taiyu Zhu Kezhi Li P. Herrero Pantelis Georgiou 24 80 0 18 May 2020
Probabilistic Guarantees for Safe Deep Reinforcement Learning E. Bacci David Parker 19 27 0 14 May 2020
Unbiased Deep Reinforcement Learning: A General Training Framework for Existing and Future Algorithms Huihui Zhang Wu Huang OOD OffRL 11 1 0 12 May 2020
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning Binyu Wang Zhe Liu Qingbiao Li Amanda Prorok 35 224 0 11 May 2020
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients Mingyu Lu Zachary Shahn Daby M. Sow Finale Doshi-Velez Li-wei H. Lehman OOD OffRL 14 3 0 08 May 2020
Discrete-to-Deep Supervised Policy Learning B. Kurniawan Peter Vamplew Michael Papasimeon Richard Dazeley Cameron Foale OffRL 16 3 0 05 May 2020
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents Chia-Yu Li Daniel Ortega Dirk Vath Florian Lux Lindsey Vanderlyn ... Moritz Volkel Pavel Denisov Sabrina Jenne Zorica Kacarevic Ngoc Thang Vu 24 8 0 04 May 2020
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey Ammar Haydari Y. Yilmaz AI4TS 33 455 0 02 May 2020
Visually Grounded Continual Learning of Compositional Phrases Xisen Jin Junyi Du Arka Sadhu Ram Nevatia Xiang Ren CLL 22 4 0 02 May 2020
Unsupervised Learning of KB Queries in Task-Oriented Dialogs Dinesh Raghu Nikhil Gupta Mausam OffRL 30 7 0 30 Apr 2020
Improving Target-driven Visual Navigation with Attention on 3D Spatial Relationships Yunlian Lv Ning Xie Yimin Shi Zijiao Wang H. Shen 27 0 0 29 Apr 2020
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning Guillaume Matheron Nicolas Perrin Olivier Sigaud 23 18 0 24 Apr 2020
Towards Runtime Verification of Programmable Switches Apoorv Shukla K. Hudemann Z. Vági Lily Hügerich Georgios Smaragdakis Stefan Schmid A. Hecker A. Feldmann 11 3 0 22 Apr 2020
STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN Juan Chen Zhiwen Xiao Huanlai Xing Penglin Dai Shouxi Luo M. Iqbal 17 16 0 21 Apr 2020
Show Us the Way: Learning to Manage Dialog from Demonstrations Gabriel Gordon-Hall P. Gorinski Gerasimos Lampouras Ignacio Iacobacci OffRL 25 11 0 17 Apr 2020
Continual Reinforcement Learning with Multi-Timescale Replay Christos Kaplanis Claudia Clopath Murray Shanahan CLL 22 14 0 16 Apr 2020
Extrapolation in Gridworld Markov-Decision Processes Eugene Charniak 14 0 0 14 Apr 2020
Stochastic batch size for adaptive regularization in deep network optimization Kensuke Nakamura Stefano Soatto Byung-Woo Hong ODL 27 6 0 14 Apr 2020
Self Punishment and Reward Backfill for Deep Q-Learning M. Bonyadi Rui Wang M. Ziaei 22 4 0 10 Apr 2020
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning Danial Kamran Carlos Fernandez Lopez Martin Lauer Christoph Stiller 16 64 0 09 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 49 1,063 0 08 Apr 2020
An Application of Deep Reinforcement Learning to Algorithmic Trading Thibaut Théate D. Ernst AIFin 19 162 0 07 Apr 2020
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning Hannes Hase Mohammad Farid Azampour M. Tirindelli Magdalini Paschali Walter Simson E. Fatemizadeh Nassir Navab 31 38 0 30 Mar 2020
Learning medical triage from clinicians using Deep Q-Learning A. Buchard Baptiste Bouvier G. Prando R. Beard Michail Livieratos ... Yuanzhao Zhang Adam Baker Yura N. Perov Kostis Gourgoulias Saurabh Johri OffRL 24 3 0 28 Mar 2020
Modeling 3D Shapes by Reinforcement Learning Cheng Lin Tingxiang Fan Wenping Wang Matthias Nießner OffRL 3DV 25 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
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward Hassam Sheikh Ladislau Bölöni 39 36 0 24 Mar 2020
Deep Reinforcement Learning with Weighted Q-Learning Andrea Cini Carlo DÉramo Jan Peters Cesare Alippi OffRL 34 9 0 20 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 49 261 0 19 Mar 2020
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles Songan Zhang H. Peng S. Nageshrao E. Tseng AAML 29 5 0 18 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
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction Aviral Kumar Abhishek Gupta Sergey Levine OffRL 16 100 0 16 Mar 2020