v1v2v3v4 (latest)

Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,454 papers shown

Title
Tactical Decision Making for Emergency Vehicles Based on A Combinational Learning Method Haoyi Niu Jianming Hu Zheyu Cui Yi Zhang 47 2 0 09 Sep 2020
Sample-Efficient Automated Deep Reinforcement Learning Jörg Franke Gregor Koehler André Biedenkapp Frank Hutter 114 42 0 03 Sep 2020
Reinforced Axial Refinement Network for Monocular 3D Object Detection Lijie Liu Chufan Wu Jiwen Lu Lingxi Xie Jie Zhou Qi Tian 3DPC 43 24 0 31 Aug 2020
Ranking Policy Decisions Hadrien Pouget Hana Chockler Youcheng Sun Daniel Kroening OffRL 49 6 0 31 Aug 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems Vinicius G. Goecks 117 11 0 30 Aug 2020
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back Trevor A. McInroe 38 0 0 28 Aug 2020
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks Binyamin Manela Armin Biess 71 28 0 21 Aug 2020
A Survey of Deep Learning for Data Caching in Edge Network Yantong Wang V. Friderikos 90 28 0 17 Aug 2020
An adaptive synchronization approach for weights of deep reinforcement learning S. Badran M. Rezghi 30 0 0 16 Aug 2020
Reinforcement Learning with Quantum Variational Circuits Owen Lockwood Mei Si 75 140 0 15 Aug 2020
Interactive Visualization for Debugging RL Shuby Deshpande Benjamin Eysenbach J. Schneider 77 7 0 14 Aug 2020
REMAX: Relational Representation for Multi-Agent Exploration Heechang Ryu Hayong Shin Jinkyoo Park 68 4 0 12 Aug 2020
Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay M. Radaideh K. Shirvan 44 1 0 10 Aug 2020
ARCADe: A Rapid Continual Anomaly Detector A. Frikha Denis Krompass Volker Tresp 72 11 0 10 Aug 2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard Alex Church John Lloyd R. Hadsell Nathan Lepora 80 31 0 06 Aug 2020
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles Teng Liu Yuyou Yang Wenxuan Xiao Xiaolin Tang Mingzhu Yin 62 5 0 04 Aug 2020
Curriculum Learning with a Progression Function Andrea Bassich Francesco Foglino Matteo Leonetti D. Kudenko ODL 88 6 0 02 Aug 2020
V2I Connectivity-Based Dynamic Queue-Jump Lane for Emergency Vehicles: A Deep Reinforcement Learning Approach Haoran Su Kejian Shi Li Jin Joseph Y. J. Chow 61 0 0 01 Aug 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection Tianming Wang Wenjie Lu H. Yu Dikai Liu 87 1 0 29 Jul 2020
Munchausen Reinforcement Learning Nino Vieillard Olivier Pietquin Matthieu Geist OffRL 69 90 0 28 Jul 2020
Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning Erika Fonseca Boris Galkin Ramy Amer Luiz DaSilva Ivana Dusparic 28 6 0 27 Jul 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation Zhenshan Bing Matthias Brucker F. O. Morin Kai-Qi Huang Alois C. Knoll 73 27 0 27 Jul 2020
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient Hao Jia Xiao Zhang Jun Xu Wei Zeng Hao Jiang Xiao Yan Ji-Rong Wen 79 3 0 25 Jul 2020
Distributional Reinforcement Learning via Moment Matching Thanh Tang Nguyen Sunil R. Gupta Svetha Venkatesh OOD 22 22 0 24 Jul 2020
Bridging the Imitation Gap by Adaptive Insubordination Luca Weihs Unnat Jain Iou-Jen Liu Jordi Salvador Svetlana Lazebnik Aniruddha Kembhavi Alex Schwing 91 36 0 23 Jul 2020
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation Fei Mi Xiao Lin Boi Faltings CLL 91 53 0 23 Jul 2020
Adaptive Traffic Control with Deep Reinforcement Learning: Towards State-of-the-art and Beyond Siavash Alemzadeh Ramin Moslemi Ratnesh K. Sharma M. Mesbahi OffRL 36 5 0 21 Jul 2020
Integrating Deep Reinforcement Learning Networks with Health System Simulations Michael Allen T. Monks AI4CE 41 4 0 21 Jul 2020
Understanding and Mitigating the Limitations of Prioritized Experience Replay Yangchen Pan Jincheng Mei Amir-massoud Farahmand Martha White Hengshuai Yao Mohsen Rohani Jun Luo 69 12 0 19 Jul 2020
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search Xin Chen Yawen Duan Zewei Chen Hang Xu Zihao Chen Xiaodan Liang Tong Zhang Zhenguo Li OffRL 80 21 0 18 Jul 2020
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang 51 25 0 15 Jul 2020
Learning to Sample with Local and Global Contexts in Experience Replay Buffer Youngmin Oh Kimin Lee Jinwoo Shin Eunho Yang Sung Ju Hwang OffRL 66 16 0 14 Jul 2020
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 105 242 0 13 Jul 2020
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay Scott Fujimoto David Meger Doina Precup 103 58 0 12 Jul 2020
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction Faruk Küçüksubasi Elif Surer 34 2 0 12 Jul 2020
Simulating multi-exit evacuation using deep reinforcement learning Dong Xu Xiao Shi Huang Joseph D Mango Xiang Li Zhenlong Li 25 23 0 11 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 119 205 0 09 Jul 2020
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads Siyu Wang Yi Rong Shiqing Fan Zhen Zheng Lansong Diao Guoping Long Jun Yang Xiaoyong Liu Wei Lin 68 9 0 08 Jul 2020
Double Prioritized State Recycled Experience Replay Fanchen Bu D. Chang OffRL 40 11 0 08 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 97 177 0 07 Jul 2020
Guided Exploration with Proximal Policy Optimization using a Single Demonstration Gabriele Libardi Gianni De Fabritiis 58 24 0 07 Jul 2020
Predictive Maintenance for Edge-Based Sensor Networks: A Deep Reinforcement Learning Approach Kevin Shen-Hoong Ong Dusit Niyato Chau Yuen 24 24 0 07 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 120 89 0 06 Jul 2020
Selective Dyna-style Planning Under Limited Model Capacity Zaheer Abbas Samuel Sokota Erin J. Talvitie Martha White 93 34 0 05 Jul 2020
Expected Eligibility Traces H. V. Hasselt Sephora Madjiheurem Matteo Hessel David Silver André Barreto Diana Borsa 64 38 0 03 Jul 2020
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction S. S. Eshkevari Martin Takávc S. Pakzad Majid Jahani AI4CE 30 14 0 03 Jul 2020
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control Jinqiu Guo 27 1 0 02 Jul 2020
Gradient Temporal-Difference Learning with Regularized Corrections Sina Ghiassian Andrew Patterson Shivam Garg Dhawal Gupta Adam White Martha White 177 42 0 01 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 85 22 0 01 Jul 2020
Group Equivariant Deep Reinforcement Learning Arnab Kumar Mondal Pratheeksha Nair Kaleem Siddiqi 63 34 0 01 Jul 2020