Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

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Title
Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking Dafa Ren Xiaoqiang Ren Xiaofan Wang Sundara Tejaswi Digumarti Guodong Shi 11 7 0 06 Jul 2021
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning Muhammad Rizki Maulana W. Lee 30 1 0 05 Jul 2021
Cooperative Autonomous Vehicles that Sympathize with Human Drivers Behrad Toghi Rodolfo Valiente Dorsa Sadigh Ramtin Pedarsani Y. P. Fallah 30 45 0 02 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 44 135 0 01 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 22 182 0 01 Jul 2021
Convergent and Efficient Deep Q Network Algorithm Zhikang T. Wang Masahito Ueda 27 12 0 29 Jun 2021
Autonomous Deep Quality Monitoring in Streaming Environments Andri Ashfahani Mahardhika Pratama E. Lughofer E. Yapp 36 4 0 26 Jun 2021
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search Junwen Yang Yeye He S. Chaudhuri AI4TS 27 26 0 25 Jun 2021
Mix and Mask Actor-Critic Methods Dom Huh 27 1 0 24 Jun 2021
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning Andreas Kirsch Sebastian Farquhar Parmida Atighehchian Andrew Jesson Frederic Branchaud-Charron Y. Gal 49 20 0 22 Jun 2021
Hi-Phy: A Benchmark for Hierarchical Physical Reasoning Cheng Xue Vimukthini Pinto C. Gamage Peng Zhang Jochen Renz 28 0 0 17 Jun 2021
Modelling resource allocation in uncertain system environment through deep reinforcement learning Neel Gandhi Shakti Mishra 24 1 0 17 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Yue Liu AAML OffRL 26 59 0 17 Jun 2021
Solving Continuous Control with Episodic Memory Igor Kuznetsov Andrey Filchenkov CLL OffRL 9 19 0 16 Jun 2021
Characterizing the Gap Between Actor-Critic and Policy Gradient Junfeng Wen Saurabh Kumar Ramki Gummadi Dale Schuurmans 34 15 0 13 Jun 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation Scott Fujimoto David Meger Doina Precup 10 16 0 12 Jun 2021
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning Jiajun Fan Changnan Xiao Yue Huang OffRL 21 10 0 11 Jun 2021
Taylor Expansion of Discount Factors Yunhao Tang Mark Rowland Rémi Munos Michal Valko OffRL 34 5 0 11 Jun 2021
Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning Daniel J. B. Harrold Jun Cao Zhong Fan 17 47 0 10 Jun 2021
Simplifying Deep Reinforcement Learning via Self-Supervision Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu SSL 54 15 0 10 Jun 2021
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration John Mern Kyle Hatch Ryan Silva J. Brush Mykel J. Kochenderfer 22 4 0 09 Jun 2021
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Yanchao Sun Ruijie Zheng Yongyuan Liang Furong Huang AAML 11 63 0 09 Jun 2021
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles Kasra Mokhtari Alan R. Wagner 17 5 0 08 Jun 2021
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection Kasra Mokhtari Alan R. Wagner 33 9 0 08 Jun 2021
Towards robust and domain agnostic reinforcement learning competitions William H. Guss Stephanie Milani Nicholay Topin Brandon Houghton Sharada Mohanty ... Lu Liu Daichi Nishio Toi Tsuneda Karolis Ramanauskas Gabija Juceviciute OOD 27 2 0 07 Jun 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning Maximilian Seitzer Bernhard Schölkopf Georg Martius CML 31 75 0 07 Jun 2021
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks Thibaut Théate Antoine Wehenkel Adrien Bolland Gilles Louppe D. Ernst 24 7 0 06 Jun 2021
Differentiable Architecture Search for Reinforcement Learning Yingjie Miao Xingyou Song John D. Co-Reyes Daiyi Peng Summer Yue E. Brevdo Aleksandra Faust 20 4 0 04 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 28 4 0 03 Jun 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 19 23 0 02 Jun 2021
Smooth Q-learning: Accelerate Convergence of Q-learning Using Similarity Wei-zhi Liao Xiaohui Wei Jizhou Lai 11 3 0 02 Jun 2021
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications Nguyen Quang Hieu D. Hoang Dusit Niyato Ping Wang Dong In Kim Chau Yuen 34 28 0 28 May 2021
FNAS: Uncertainty-Aware Fast Neural Architecture Search Jihao Liu Ming Zhang Yangting Sun B. Liu Guanglu Song Yu Liu Hongsheng Li 30 7 0 25 May 2021
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound Xin Yang Yuhao Huang Ruobing Huang Haoran Dou Rui Li ... Chaoyu Chen Yuanji Zhang Haixia Wang Yi Xiong Dong Ni 33 16 0 22 May 2021
Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning Haoran Wang S. Yu AIFin 38 13 0 19 May 2021
Controlling an Inverted Pendulum with Policy Gradient Methods-A Tutorial Swagat Kumar 18 2 0 17 May 2021
Behavior-based Neuroevolutionary Training in Reinforcement Learning Jörg Stork Martin Zaefferer Nils Eisler Patrick Tichelmann T. Bartz-Beielstein A. E. Eiben 6 5 0 17 May 2021
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning Xu-Hui Liu Zhenghai Xue Jing-Cheng Pang Shengyi Jiang Feng Xu Yang Yu OffRL 21 37 0 15 May 2021
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning Fan Zhou Zhoufan Zhu Qi Kuang Liwen Zhang OffRL 28 16 0 14 May 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective Florin Gogianu Tudor Berariu Mihaela Rosca Claudia Clopath L. Buşoniu Razvan Pascanu 24 54 0 11 May 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks Rong Zhu Mattia Rigotti 34 7 0 10 May 2021
PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning Hanqing Wang Zan Wang Wei Liang L. Yu 21 1 0 10 May 2021
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration Changnan Xiao Haosen Shi Jiajun Fan Shihong Deng Haiyan Yin 19 0 0 09 May 2021
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning Yeonji Kim Min Chi 14 0 0 06 May 2021
Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection Tianhao Wu Mingzhi Jiang Yinhui Han Zheng Yuan Lin Zhang 18 2 0 05 May 2021
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning Marc Aurel Vischer R. T. Lange Henning Sprekeler OOD UQCV OffRL 25 23 0 04 May 2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference Xiaocong Chen Lina Yao Xianzhi Wang Aixin Sun Wenjie Zhang Quan Z. Sheng 22 8 0 03 May 2021
Curious Exploration and Return-based Memory Restoration for Deep Reinforcement Learning Saeed Tafazzol Erfan Fathi Mahdi Rezaei Ehsan Asali 13 2 0 02 May 2021
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network Kasra Mokhtari Alan R. Wagner 12 6 0 01 May 2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning Chaosheng Dong Xiaojie Jin Weihao Gao Yijia Wang Hongyi Zhang Xiang Wu Jianchao Yang Xiaobing Liu 28 5 0 27 Apr 2021