Distributed Prioritized Experience Replay

2 March 2018

Dan Horgan

David Budden

David Silver

Papers citing "Distributed Prioritized Experience Replay"

50 / 373 papers shown

Title
Discrete-to-Deep Supervised Policy Learning B. Kurniawan Peter Vamplew Michael Papasimeon Richard Dazeley Cameron Foale OffRL 6 3 0 05 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 349 0 27 Apr 2020
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding Ioannis Boukas D. Ernst Thibaut Théate Adrien Bolland A. Huynen Martin Buchwald Christelle Wynants Bertrand Cornélusse 4 48 0 13 Apr 2020
Levels of Analysis for Machine Learning Jessica B. Hamrick S. Mohamed 12 16 0 06 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 13 509 0 30 Mar 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 22 12 0 25 Mar 2020
Distributional Reinforcement Learning with Ensembles Björn Lindenberg Jonas Nordqvist Karl-Olof Lindahl OOD 6 3 0 24 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 23 120 0 24 Mar 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction Aviral Kumar Abhishek Gupta Sergey Levine OffRL 14 100 0 16 Mar 2020
Taylor Expansion Policy Optimization Yunhao Tang Michal Valko Rémi Munos OffRL 12 14 0 13 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 17 167 0 10 Mar 2020
Dynamic Experience Replay Jieliang Luo Hui Li 118 24 0 04 Mar 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 22 3 0 27 Feb 2020
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation Yige Xu Xipeng Qiu L. Zhou Xuanjing Huang 17 65 0 24 Feb 2020
Adaptive Experience Selection for Policy Gradient S. Mohamad Giovanni Montana 23 0 0 17 Feb 2020
Never Give Up: Learning Directed Exploration Strategies Adria Puigdomenech Badia Pablo Sprechmann Alex Vitvitskyi Daniel Guo Bilal Piot ... O. Tieleman Martín Arjovsky Alexander Pritzel Andew Bolt Charles Blundell 12 289 0 14 Feb 2020
Towards Learning Multi-agent Negotiations via Self-Play Yichuan Tang 9 33 0 28 Jan 2020
Q-Learning in enormous action spaces via amortized approximate maximization T. Wiele David Warde-Farley A. Mnih Volodymyr Mnih 13 59 0 22 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning Whiyoung Jung Giseung Park Y. Sung OffRL 16 38 0 09 Jan 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors Jingliang Duan Yang Guan Shengbo Eben Li Yangang Ren B. Cheng OffRL 17 173 0 09 Jan 2020
Augmented Replay Memory in Reinforcement Learning With Continuous Control Mirza Ramicic Andrea Bonarini KELM CLL OffRL 11 1 0 29 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 34 188 0 23 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 30 34 0 23 Dec 2019
Soft Q Network Jingbin Liu Shuai Liu Xinyang Gu OffRL 14 2 0 20 Dec 2019
Adapting Behaviour for Learning Progress Tom Schaul Diana Borsa David Ding David Szepesvari Georg Ostrovski Will Dabney Simon Osindero 6 18 0 14 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 41 1,794 0 13 Dec 2019
Reinforcement Learning with Convolutional Reservoir Computing Hanten Chang K. Futagami 16 21 0 05 Dec 2019
Improving Policies via Search in Cooperative Partially Observable Games Adam Lerer Hengyuan Hu Jakob N. Foerster Noam Brown 11 78 0 05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 16 82 0 04 Dec 2019
Policy Optimization Reinforcement Learning with Entropy Regularization Jingbin Liu Xinyang Gu Shuai Liu 15 4 0 02 Dec 2019
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks Michael Luo Jiahao Yao Richard Liaw Eric Liang Ion Stoica 17 15 0 30 Nov 2019
Distributed Soft Actor-Critic with Multivariate Reward Representation and Knowledge Distillation Dmitry Akimov 6 9 0 29 Nov 2019
Simulation-based reinforcement learning for real-world autonomous driving B. Osinski Adam Jakubowski Piotr Milos Pawel Ziecina Christopher Galias S. Homoceanu Henryk Michalewski 19 122 0 29 Nov 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 41 205 0 25 Nov 2019
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems Bharathan Balaji Jordan Bell-Masterson Enes Bilgin Andreas C. Damianou Pablo Moreno Garcia Arpit Jain Runfei Luo Alvaro Maggiar Balakrishnan Narayanaswamy Chun Jimmie Ye OffRL 9 32 0 24 Nov 2019
Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning Gang Chen 20 4 0 24 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 22 142 0 11 Nov 2019
Experience Sharing Between Cooperative Reinforcement Learning Agents Lucas O. Souza G. Ramos C. Ralha 11 9 0 06 Nov 2019
Positive-Unlabeled Reward Learning Danfei Xu Misha Denil 13 38 0 01 Nov 2019
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations Daniel Seita David M. Chan Roshan Rao Chen Tang Mandi Zhao John F. Canny 9 12 0 26 Oct 2019
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling Che Wang Yanqiu Wu Q. Vuong Keith Ross 8 6 0 05 Oct 2019
Task-Relevant Adversarial Imitation Learning Konrad Zolna Scott E. Reed Alexander Novikov Sergio Gomez Colmenarejo David Budden Serkan Cabi Misha Denil Nando de Freitas Ziyun Wang GAN 20 61 0 02 Oct 2019
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning Srivatsan Krishnan Maximilian Lam Sharad Chitlangia Zishen Wan Gabriel Barth-Maron Aleksandra Faust Vijay Janapa Reddi MQ 21 22 0 02 Oct 2019
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning Linxi Fan Yuke Zhu Jiren Zhu Zihua Liu Orien Zeng Anchit Gupta Joan Creus-Costa Silvio Savarese Li Fei-Fei OffRL GNN 15 3 0 27 Sep 2019
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt Matteo Hessel Karen Simonyan OffRL 11 68 0 25 Sep 2019
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture Pawel Ladosz Eseoghene Ben-Iwhiwhu Jeffery Dick Yang Hu Nicholas A. Ketz Soheil Kolouri J. Krichmar Praveen K. Pilly Andrea Soltoggio 11 19 0 21 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 14 96 0 03 Sep 2019
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems T. Paine Çağlar Gülçehre Bobak Shahriari Misha Denil Matt Hoffman ... Duncan Williams Gabriel Barth-Maron Ziyun Wang Nando de Freitas Worlds Team 12 80 0 03 Sep 2019
An Open-Source Framework for Adaptive Traffic Signal Control Wade Genders S. Razavi 6 29 0 01 Sep 2019
Exploration-Enhanced POLITEX Yasin Abbasi-Yadkori N. Lazić Csaba Szepesvári Gellert Weisz 11 23 0 27 Aug 2019