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Learning Scheduling Algorithms for Data Processing Clusters

3 October 2018

Papers citing "Learning Scheduling Algorithms for Data Processing Clusters"

28 / 28 papers shown

Title
Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Xianzhong Ding Yunkai Zhang Binbin Chen Donghao Ying Tieying Zhang Jianjun Chen Lei Zhang Alberto Cerpa Wan Du VLM 130 1 0 23 May 2025
Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning Thomas Budiarjo Santana Yuda Pradata Kadek Gemilang Santiyuda Muhammad Alfian Amrizal Reza Pulungan Hiroyuki Takizawa 85 0 0 27 Feb 2025
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs Ferdi Kossmann Bruce Fontaine Daya Khudia Michael Cafarella Samuel Madden 255 2 0 23 Oct 2024
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 108 0 0 04 Feb 2023
Real-world Video Adaptation with Reinforcement Learning Hongzi Mao Shannon Chen Drew Dimmery Shaun Singh Drew Blaisdell Yuandong Tian Mohammad Alizadeh E. Bakshy OffRL 110 77 0 28 Aug 2020
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 183 119 0 12 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 438 940 0 02 Mar 2020
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning Ravichandra Addanki S. Venkatakrishnan Shreyan Gupta Hongzi Mao Mohammad Alizadeh OOD OffRL 59 68 0 20 Jun 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 87 786 0 31 Dec 2018
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search Zhuwen Li Qifeng Chen V. Koltun GNN 94 475 0 25 Oct 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 74 228 0 14 Sep 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 80 95 0 06 Jul 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 761 3,129 0 04 Jun 2018
Device Placement Optimization with Reinforcement Learning Azalia Mirhoseini Hieu H. Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio J. Dean 85 440 0 13 Jun 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 113 1,328 0 30 May 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 114 1,472 0 05 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,937 0 09 Mar 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 98 859 0 08 Mar 2017
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 99 1,019 0 09 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 353 7,669 0 30 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 202 8,875 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,272 0 09 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,793 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
PEGASUS: A Policy Search Method for Large MDPs and POMDPs A. Ng Michael I. Jordan 110 496 0 16 Jan 2013
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning Lex Weaver Nigel Tao 119 248 0 10 Jan 2013