On Deep Reinforcement Learning for Traffic Steering Intelligent ORAN.
Fatemeh KavehmadavaniVan-Dinh NguyenThang X. VuSymeon ChatzinotasPublished in: GLOBECOM (Workshops) (2023)
Keyphrases
- reinforcement learning
- function approximation
- learning capabilities
- temporal difference
- network traffic
- learning algorithm
- model free
- traffic flow
- state space
- intelligent systems
- deep learning
- reinforcement learning algorithms
- road network
- traffic management
- machine learning
- real time
- optimal policy
- traffic congestion
- decision support
- dynamic programming
- multi agent
- action selection
- transportation networks
- congestion control
- reinforcement learning methods
- markov decision processes
- mobile robot
- artificial intelligence
- neural network
- data sets