Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles.
Hongbin LiangXiaohui ZhangXintao HongZongyuan ZhangMushu LiGuang-Di HuFen HouPublished in: IEEE Trans. Ind. Informatics (2021)
Keyphrases
- dynamic resource allocation
- reinforcement learning
- resource allocation
- internet users
- real time
- action selection
- function approximation
- machine learning
- vehicle detection
- temporal difference
- world wide
- web technologies
- transfer learning
- state space
- learning algorithm
- optimal policy
- dynamic programming
- learning process
- reinforcement learning algorithms
- multi agent
- autonomous vehicles
- allocation policies