Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,441 papers shown

Title
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard Alex Church John Lloyd R. Hadsell Nathan Lepora 37 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 42 4 0 04 Aug 2020
Curriculum Learning with a Progression Function Andrea Bassich Francesco Foglino Matteo Leonetti D. Kudenko ODL 31 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 11 0 0 01 Aug 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection Tianming Wang Wenjie Lu H. Yu Dikai Liu 48 1 0 29 Jul 2020
Munchausen Reinforcement Learning Nino Vieillard Olivier Pietquin Matthieu Geist OffRL 11 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 12 5 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 24 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 37 3 0 25 Jul 2020
Distributional Reinforcement Learning via Moment Matching Thanh Tang Nguyen Sunil R. Gupta Svetha Venkatesh OOD 6 21 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 32 34 0 23 Jul 2020
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation Fei Mi Xiao Lin Boi Faltings CLL 26 52 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 11 5 0 21 Jul 2020
Integrating Deep Reinforcement Learning Networks with Health System Simulations Michael Allen T. Monks AI4CE 30 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 24 11 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 21 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 22 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 22 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 41 235 0 13 Jul 2020
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay Scott Fujimoto David Meger Doina Precup 26 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 27 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 18 19 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 30 200 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 23 9 0 08 Jul 2020
Double Prioritized State Recycled Experience Replay Fanchen Bu D. Chang OffRL 24 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 33 169 0 07 Jul 2020
Guided Exploration with Proximal Policy Optimization using a Single Demonstration Gabriele Libardi Gianni De Fabritiis 12 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 4 24 0 07 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 31 87 0 06 Jul 2020
Selective Dyna-style Planning Under Limited Model Capacity Zaheer Abbas Samuel Sokota Erin J. Talvitie Martha White 48 32 0 05 Jul 2020
Expected Eligibility Traces H. V. Hasselt Sephora Madjiheurem Matteo Hessel David Silver André Barreto Diana Borsa 15 37 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 13 14 0 03 Jul 2020
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control Jinqiu Guo 21 1 0 02 Jul 2020
Gradient Temporal-Difference Learning with Regularized Corrections Sina Ghiassian Andrew Patterson Shivam Garg Dhawal Gupta Adam White Martha White 22 42 0 01 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 40 22 0 01 Jul 2020
Group Equivariant Deep Reinforcement Learning Arnab Kumar Mondal Pratheeksha Nair Kaleem Siddiqi 19 32 0 01 Jul 2020
Regularly Updated Deterministic Policy Gradient Algorithm Shuai Han Wenbo Zhou Shuai Lu Jiayu Yu 21 22 0 01 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 36 47 0 30 Jun 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 41 50 0 29 Jun 2020
Learning predictive representations in autonomous driving to improve deep reinforcement learning D. Graves Nhat M. Nguyen Kimia Hassanzadeh Jun Jin SSL 29 12 0 26 Jun 2020
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation L. Guan Mudit Verma Sihang Guo Ruohan Zhang Subbarao Kambhampati 48 42 0 26 Jun 2020
Reinforcement Learning and its Connections with Neuroscience and Psychology Ajay Subramanian Sharad Chitlangia V. Baths OffRL 21 29 0 25 Jun 2020
Experience Replay with Likelihood-free Importance Weights Samarth Sinha Jiaming Song Animesh Garg Stefano Ermon OffRL 38 55 0 23 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulic OffRL 30 27 0 23 Jun 2020
NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration Shuai Han Wenbo Zhou Jing Liu Shuai Lu 23 27 0 19 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations Alexey Skrynnik A. Staroverov Ermek Aitygulov Kirill Aksenov Vasilii Davydov Aleksandr I. Panov OffRL 28 4 0 17 Jun 2020
Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control Hua Zheng Wei Xie M. Feng OffRL 12 5 0 17 Jun 2020
Learning About Objects by Learning to Interact with Them Martin Lohmann Jordi Salvador Aniruddha Kembhavi Roozbeh Mottaghi OCL 14 18 0 16 Jun 2020
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration Xiang Gao J. Si Yue Wen Minhan Li He H. Huang 13 31 0 16 Jun 2020
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms Guy Bresler Prateek Jain Dheeraj M. Nagaraj Praneeth Netrapalli Xian Wu 41 61 0 16 Jun 2020