Distributed Prioritized Experience Replay

2 March 2018

Dan Horgan

David Budden

David Silver

Papers citing "Distributed Prioritized Experience Replay"

50 / 373 papers shown

Title
Greedy-Step Off-Policy Reinforcement Learning Yuhui Wang Qingyuan Wu Pengcheng He Xiaoyang Tan OffRL 10 1 0 23 Feb 2021
Communication Efficient Parallel Reinforcement Learning Mridul Agarwal Bhargav Ganguly Vaneet Aggarwal 42 9 0 22 Feb 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 17 39 0 16 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 17 12 0 09 Feb 2021
Reverb: A Framework For Experience Replay Albin Cassirer Gabriel Barth-Maron E. Brevdo Sabela Ramos Toby Boyd Thibault Sottiaux M. Kroiss VLM OffRL 16 38 0 09 Feb 2021
Revisiting Prioritized Experience Replay: A Value Perspective Ang Li Zongqing Lu Chenglin Miao 14 9 0 05 Feb 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning Juhyoung Lee Sangyeob Kim Sangjin Kim Wooyoung Jo H. Yoo OffRL 21 9 0 24 Jan 2021
Shielding Atari Games with Bounded Prescience Mirco Giacobbe Mohammadhosein Hasanbeig Daniel Kroening H. Wijk 8 23 0 20 Jan 2021
Flatland-RL : Multi-Agent Reinforcement Learning on Trains Sharada Mohanty Erik Nygren Florian Laurent Manuel Schneider Christian Scheller ... Christian Baumberger Gereon Vienken Irene Sturm Guillaume Sartoretti G. Spigler OffRL 29 58 0 10 Dec 2020
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search Kyunghyun Lee Byeong-uk Lee Ukcheol Shin In So Kweon 14 22 0 10 Dec 2020
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning Hangtian Jia Yujing Hu Yingfeng Chen Chunxu Ren Tangjie Lv Changjie Fan Chongjie Zhang 29 22 0 06 Dec 2020
Reinforcement Learning for Robust Missile Autopilot Design Bernardo Cortez 6 2 0 26 Nov 2020
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning Peng Sun Jiechao Xiong Lei Han Xinghai Sun Shuxing Li Jiawei Xu Meng Fang Zhengyou Zhang OffRL LRM 25 19 0 25 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem Eric Liang Zhanghao Wu Michael Luo Sven Mika Joseph E. Gonzalez Ion Stoica AI4CE 21 9 0 25 Nov 2020
Distributed Deep Reinforcement Learning: An Overview Mohammad Reza Samsami Hossein Alimadad OffRL 14 27 0 22 Nov 2020
Cooperative Heterogeneous Deep Reinforcement Learning Han Zheng Pengfei Wei Jing Jiang Guodong Long Qinghua Lu Chengqi Zhang 49 12 0 02 Nov 2020
Softmax Deep Double Deterministic Policy Gradients Ling Pan Qingpeng Cai Longbo Huang 72 86 0 19 Oct 2020
A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly Jieliang Luo Hui Li 4 18 0 15 Oct 2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning Hassam Sheikh Shauharda Khadka Santiago Miret Somdeb Majumdar OffRL 13 7 0 08 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 25 25 0 05 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 48 810 0 05 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 12 9 0 03 Oct 2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning J. K. Terry Benjamin Black Nathaniel Grammel Mario Jayakumar Ananth Hari ... Caroline Horsch Clemens Dieffendahl Niall L. Williams Yashas Lokesh Praveen Ravi OffRL 16 270 0 30 Sep 2020
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy Yunshu Du Garrett A. Warnell A. Gebremedhin Peter Stone Matthew E. Taylor 19 10 0 29 Sep 2020
Agent Environment Cycle Games J. K. Terry Nathaniel Grammel Benjamin Black Ananth Hari Caroline Horsch L. Santos 13 7 0 28 Sep 2020
Multiplayer Support for the Arcade Learning Environment J. K. Terry Benjamin Black Luis Santos 15 13 0 20 Sep 2020
Sample-Efficient Automated Deep Reinforcement Learning Jörg Franke Gregor Koehler André Biedenkapp Frank Hutter 10 39 0 03 Sep 2020
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back Trevor A. McInroe 6 0 0 28 Aug 2020
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach C. C. Beltran-Hernandez Damien Petit I. Ramirez-Alpizar Kensuke Harada OffRL 22 157 0 24 Aug 2020
DMRO:A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing Guanjin Qu Huaming Wu OffRL 6 177 0 23 Aug 2020
Adversarial Imitation Learning via Random Search Myungjae Shin Joongheon Kim 6 11 0 21 Aug 2020
Deep Reinforcement Learning for Field Development Optimization Y. Nasir 6 1 0 05 Aug 2020
Monte-Carlo Tree Search as Regularized Policy Optimization Jean-Bastien Grill Florent Altché Yunhao Tang Thomas Hubert Michal Valko Ioannis Antonoglou Rémi Munos 19 73 0 24 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 8 11 0 19 Jul 2020
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy Molin Zhang Junshen Xu Esra Abaci Turk P. E. Grant Polina Golland E. Adalsteinsson 9 12 0 16 Jul 2020
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 22 232 0 13 Jul 2020
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay Scott Fujimoto D. Meger Doina Precup 11 56 0 12 Jul 2020
Simulating multi-exit evacuation using deep reinforcement learning Dong Xu Xiao Shi Huang Joseph D Mango Xiang Li Zhenlong Li 8 19 0 11 Jul 2020
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots M. Lucchi Friedemann Zindler Stephan Mühlbacher-Karrer Horst Pichler OffRL 14 29 0 06 Jul 2020
Integrating Distributed Architectures in Highly Modular RL Libraries Albert Bou Sebastian Dittert Gianni De Fabritiis 21 0 0 06 Jul 2020
Expected Eligibility Traces H. V. Hasselt Sephora Madjiheurem Matteo Hessel David Silver André Barreto Diana Borsa 8 37 0 03 Jul 2020
Group Equivariant Deep Reinforcement Learning Arnab Kumar Mondal Pratheeksha Nair Kaleem Siddiqi 9 31 0 01 Jul 2020
Regularly Updated Deterministic Policy Gradient Algorithm Shuai Han Wenbo Zhou Shuai Lu Jiayu Yu 11 22 0 01 Jul 2020
Experience Replay with Likelihood-free Importance Weights Samarth Sinha Jiaming Song Animesh Garg Stefano Ermon OffRL 17 55 0 23 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulić OffRL 14 27 0 23 Jun 2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning Aleksei Petrenko Zhehui Huang T. Kumar Gaurav Sukhatme V. Koltun 13 99 0 21 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 6 31 0 16 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 22 24 0 12 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 51 225 0 01 Jun 2020
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning Zhenhui Ye Yining Chen Guang-hua Song Bowei Yang Sheng Fan OffRL 26 7 0 19 May 2020