Neural-network-based parameter tuning for multi-agent simulation using deep reinforcement learning.
Masanori HiranoKiyoshi IzumiPublished in: World Wide Web (WWW) (2023)
Keyphrases
- parameter tuning
- multi agent simulation
- reinforcement learning
- multi agent
- ink bleed
- neural network
- function approximation
- parameter settings
- state space
- optimal policy
- temporal difference
- model order selection
- reinforcement learning algorithms
- deep learning
- learning algorithm
- machine learning
- markov decision processes
- power system
- control system
- action selection
- fuzzy logic controller