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2505.17359
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Towards VM Rescheduling Optimization Through Deep Reinforcement Learning
23 May 2025
Xianzhong Ding
Yunkai Zhang
Binbin Chen
Donghao Ying
Tieying Zhang
Jianjun Chen
Lei Zhang
Alberto Cerpa
Wan Du
VLM
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Papers citing
"Towards VM Rescheduling Optimization Through Deep Reinforcement Learning"
24 / 24 papers shown
Title
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang
Shengyuan Chen
Yuanchen Bei
Zheng Yuan
Huachi Zhou
Zijin Hong
Junnan Dong
Hao-Heng Chen
Yi-Ju Chang
Xiao Huang
3DV
93
12
0
21 Jan 2025
MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge
Yuning Chen
Kang Yang
Zhiyu An
Brady Holder
Luke Paloutzian
Khaled Bali
Wan Du
KELM
80
5
0
01 Jul 2024
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Zijin Hong
Zheng Yuan
Qinggang Zhang
Hao Chen
Junnan Dong
Feiran Huang
Xiao Huang
103
62
0
12 Jun 2024
Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control
Zhiyu An
Xianzhong Ding
Wan Du
OffRL
AI4CE
69
8
0
29 Feb 2024
Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field
Xianzhong Ding
Wan Du
AI4CE
43
14
0
04 Apr 2023
Exploring Deep Reinforcement Learning for Holistic Smart Building Control
Xianzhong Ding
Alberto Cerpa
Wan Du
AI4CE
29
10
0
27 Jan 2023
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP
Deepak Narayanan
Fiodar Kazhamiaka
Firas Abuzaid
Peter Kraft
Akshay Agrawal
Srikanth Kandula
Stephen P. Boyd
Matei A. Zaharia
31
53
0
22 Oct 2021
Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention
Jingwei Zhang
Bin Zi
Xiaoyu Ge
OffRL
31
20
0
09 Jul 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
400
40,217
0
22 Oct 2020
Hybrid Models for Learning to Branch
Prateek Gupta
Maxime Gasse
Elias Boutros Khalil
M. P. Kumar
Andrea Lodi
Yoshua Bengio
GNN
129
126
0
26 Jun 2020
Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm
Marc Etheve
Zacharie Alès
Côme Bissuel
Olivier Juan
S. Kedad-Sidhoum
32
38
0
20 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
477
1,994
0
04 May 2020
Reinforcement Learning for Combinatorial Optimization: A Survey
Nina Mazyavkina
S. Sviridov
Sergei Ivanov
Evgeny Burnaev
74
611
0
07 Mar 2020
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
Qijing Huang
Ameer Haj-Ali
William S. Moses
J. Xiang
Ion Stoica
Krste Asanović
J. Wawrzynek
28
56
0
02 Mar 2020
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Brenden K. Petersen
Mikel Landajuela
T. Nathan Mundhenk
Claudio Santiago
Soo K. Kim
Joanne T. Kim
38
313
0
10 Dec 2019
Reinforcement Learning Driven Heuristic Optimization
Qingpeng Cai
W. Hang
Azalia Mirhoseini
George Tucker
Jingtao Wang
Wei Wei
52
27
0
16 Jun 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse
Didier Chételat
Nicola Ferroni
Laurent Charlin
Andrea Lodi
GNN
CML
110
481
0
04 Jun 2019
Parameter-Efficient Transfer Learning for NLP
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
189
4,368
0
02 Feb 2019
Learning Scheduling Algorithms for Data Processing Clusters
Hongzi Mao
Malte Schwarzkopf
S. Venkatakrishnan
Zili Meng
Mohammad Alizadeh
OffRL
62
642
0
03 Oct 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Martin Riedmiller
Roland Hafner
Thomas Lampe
Michael Neunert
Jonas Degrave
T. Wiele
Volodymyr Mnih
N. Heess
Jost Tobias Springenberg
68
446
0
28 Feb 2018
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
103
1,940
0
19 Sep 2017
Solving a New 3D Bin Packing Problem with Deep Reinforcement Learning Method
Haoyuan Hu
Xiaodong Zhang
Xiaowei Yan
Longfei Wang
Yinghui Xu
43
127
0
20 Aug 2017
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
236
18,685
0
20 Jul 2017
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
453
129,831
0
12 Jun 2017
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