DAG-based workflows scheduling using Actor-Critic Deep Reinforcement Learning.
Guilherme Piêgas KoslovskiKleiton PereiraPaulo Roberto AlbuquerquePublished in: Future Gener. Comput. Syst. (2024)
Keyphrases
- actor critic
- reinforcement learning
- temporal difference
- policy gradient
- optimal control
- reinforcement learning algorithms
- approximate dynamic programming
- gradient method
- function approximation
- neuro fuzzy
- policy iteration
- state space
- markov decision processes
- policy gradient methods
- control problems
- model free
- optimal policy
- dynamic programming
- multi agent
- neural network
- partially observable
- markov decision process
- transfer learning
- function approximators
- average reward
- supervised learning
- natural actor critic
- multi agent systems