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Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,454 papers shown

Title
Data Valuation for Offline Reinforcement Learning Amir Abolfazli Gregory Palmer D. Kudenko OffRL 38 0 0 19 May 2022
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning Yufan Zhang Honglin Wen Qiuwei Wu Qiang Ai 46 24 0 18 May 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks Ryan M Sander Wilko Schwarting Tim Seyde Igor Gilitschenski S. Karaman Daniela Rus 69 2 0 18 May 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 153 198 0 16 May 2022
Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Xiaohan Hou Jia-jia Zhang Xinyu Wang Jing Xiao 56 0 0 11 May 2022
Vehicle management in a modular production context using Deep Q-Learning Lucain Pouget Timo Hasenbichler Jakob Auer K. Lichtenegger Andreas Windisch 21 0 0 06 May 2022
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 86 25 0 05 May 2022
State Representation Learning for Goal-Conditioned Reinforcement Learning Lorenzo Steccanella Anders Jonsson SSL OffRL 66 5 0 04 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning Chenyu Sun Hangwei Qian Chunyan Miao OffRL 96 12 0 02 May 2022
Learning user-defined sub-goals using memory editing in reinforcement learning G. Lee KELM 67 2 0 01 May 2022
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection Quanfu Fan Yilai Li Yuguang Yao J. M. Cohn Sijia Liu S. Vos M. Cianfrocco OffRL 42 8 0 15 Apr 2022
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback Rohin Shah Steven H. Wang Cody Wild Stephanie Milani Anssi Kanervisto ... Alexander Fries Alexandra Souly Chan Jun Shern Daniel del Castillo Tom Lieberum LLMAG OffRL 78 10 0 14 Apr 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning Ugo Lecerf Christelle Yemdji Tchassi Pietro Michiardi 62 1 0 13 Apr 2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning? Aviral Kumar Joey Hong Anika Singh Sergey Levine OffRL 117 84 0 12 Apr 2022
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios Ugo Lecerf Christelle Yemdji Tchassi S. Aubert Pietro Michiardi 66 1 0 11 Apr 2022
gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach Johannes Dornheim OffRL AI4CE 51 3 0 11 Apr 2022
JORLDY: a fully customizable open source framework for reinforcement learning Kyushik Min Hyunho Lee Kwansu Shin Tae-woo Lee Hojoon Lee Jinwon Choi Sung-Hyun Son OnRL 36 0 0 11 Apr 2022
Optimizing the Long-Term Behaviour of Deep Reinforcement Learning for Pushing and Grasping Rodrigo Chau 72 0 0 07 Apr 2022
Automating Reinforcement Learning with Example-based Resets Jigang Kim Jaehyeon Park Daesol Cho H. J. Kim CLL OnRL 93 14 0 05 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Michael Ahn Anthony Brohan Noah Brown Yevgen Chebotar Omar Cortes ... Ted Xiao Peng Xu Sichun Xu Mengyuan Yan Andy Zeng LM&Ro 220 1,992 0 04 Apr 2022
Investigating the Properties of Neural Network Representations in Reinforcement Learning Han Wang Erfan Miahi Martha White Marlos C. Machado Zaheer Abbas Raksha Kumaraswamy Vincent Liu Adam White 96 29 0 30 Mar 2022
Topological Experience Replay Zhang-Wei Hong Tao Chen Yen-Chen Lin Joni Pajarinen Pulkit Agrawal 75 16 0 29 Mar 2022
On the link between conscious function and general intelligence in humans and machines Arthur Juliani Kai Arulkumaran Shuntaro Sasai Ryota Kanai 105 26 0 24 Mar 2022
The Challenges of Continuous Self-Supervised Learning Senthil Purushwalkam Pedro Morgado Abhinav Gupta CLL 89 44 0 23 Mar 2022
Self-Imitation Learning from Demonstrations Georgiy Pshikhachev Dmitry Ivanov Vladimir Egorov A. Shpilman 56 6 0 21 Mar 2022
Importance Sampling Placement in Off-Policy Temporal-Difference Methods Eric Graves Sina Ghiassian OffRL 84 2 0 18 Mar 2022
Proximal Policy Optimization with Adaptive Threshold for Symmetric Relative Density Ratio Taisuke Kobayashi 68 5 0 18 Mar 2022
Multi-robot Cooperative Pursuit via Potential Field-Enhanced Reinforcement Learning Zheng Zhang Xiaohan Wang Qingrui Zhang Tianjiang Hu 99 37 0 09 Mar 2022
$$\mathrm{SO}(2)$-Equivariant Reinforcement Learning$ $\mathrm{SO}(2)$ -Equivariant Reinforcement Learning Dian Wang Robin Walters Robert Platt 98 84 0 08 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning Hongpeng Cao Mirco Theile Federico G. Wyrwal Marco Caccamo 111 8 0 04 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 85 51 0 25 Feb 2022
Comparative analysis of machine learning methods for active flow control F. Pino Lorenzo Schena Jean Rabault M. A. Mendez 107 44 0 23 Feb 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics Honghu Xue Benedikt Hein M. Bakr Georg Schildbach Bengt Abel Elmar Rueckert 125 18 0 23 Feb 2022
Molecule Generation for Drug Design: a Graph Learning Perspective Nianzu Yang Huaijin Wu Xiaoyong Pan Ye Yuan Junchi Yan 106 18 0 18 Feb 2022
Energy-Efficient Parking Analytics System using Deep Reinforcement Learning Yoones Rezaei Stephen Lee D. Mossé 24 1 0 15 Feb 2022
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning Taisuke Kobayashi 96 16 0 15 Feb 2022
Sequential Bayesian experimental designs via reinforcement learning Hikaru Asano OffRL 82 0 0 14 Feb 2022
Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions Yufeng Wang Dan Li Cong Xu Min Yang 67 0 0 13 Feb 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks Maja Franz Lucas Wolf Maniraman Periyasamy Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler Wolfgang Mauerer 133 30 0 10 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 123 78 0 07 Feb 2022
Reinforcement learning for multi-item retrieval in the puzzle-based storage system Jingxu He Xinglu Liu Qiyao Duan Wai Kin Victor Chan Mingyao Qi 32 16 0 05 Feb 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems Miguel Suau Jinke He M. Spaan F. Oliehoek 60 4 0 03 Feb 2022
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic Rodolfo Valiente Behrad Toghi Ramtin Pedarsani Y. P. Fallah 129 58 0 02 Feb 2022
Sequential Search with Off-Policy Reinforcement Learning Dadong Miao Yanan Wang Guoyu Tang Lin Liu Sulong Xu Bo Long Yun Xiao Lingfei Wu Yunjiang Jiang OffRL 56 3 0 01 Feb 2022
DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning Chenghao Huang Weilong Chen Yuxi Chen Shunji Yang Yanru Zhang FedML 28 2 0 30 Jan 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 107 45 0 28 Jan 2022
MOORe: Model-based Offline-to-Online Reinforcement Learning Yihuan Mao Chao Wang Bin Wang Chongjie Zhang OffRL OnRL 70 14 0 25 Jan 2022
Multi-Agent Adversarial Attacks for Multi-Channel Communications Juncheng Dong Suya Wu Mohammadreza Soltani Vahid Tarokh AAML 70 3 0 22 Jan 2022
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective Ryan K. Tan Yang Liu Lei Xie 77 2 0 21 Jan 2022
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning Sergio Rozada Santiago Paternain A. Marques 101 15 0 21 Jan 2022