Adaptive and Efficient Resource Allocation in Cloud Datacenters Using Actor-Critic Deep Reinforcement Learning.
Zheyi ChenJia HuGeyong MinChunbo LuoTarek A. El-GhazawiPublished in: IEEE Trans. Parallel Distributed Syst. (2022)
Keyphrases
- resource allocation
- actor critic
- reinforcement learning
- temporal difference
- resource allocation problems
- function approximation
- approximate dynamic programming
- reinforcement learning algorithms
- policy gradient
- optimal control
- optimal resource allocation
- gradient method
- cloud computing environment
- cloud computing
- policy iteration
- optimal policy
- game theory
- neuro fuzzy
- average reward
- combinatorial auctions
- markov chain
- learning algorithm
- policy gradient methods
- partially observable markov decision processes
- adaptive control
- model free
- least squares
- multi agent systems