A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.
Siqiao XueChao QuXiaoming ShiCong LiaoShiyi ZhuXiaoyu TanLintao MaShiyu WangShijun WangYun HuLei LeiYangfei ZhengJianguo LiJames ZhangPublished in: KDD (2022)
Keyphrases
- reinforcement learning
- cloud computing
- function approximation
- state space
- machine learning
- reinforcement learning algorithms
- optimal policy
- temporal difference
- markov decision processes
- robotic control
- reinforcement learning methods
- predictive model
- real time
- multi agent reinforcement learning
- temporal difference learning
- meta level
- database
- learning process
- multi agent
- learning problems
- learning algorithm
- partially observable
- meta reasoning
- relational reinforcement learning
- data sets
- stochastic approximation
- neural network
- function approximators
- case study
- model free
- data management
- virtual machine
- transfer learning
- data center