On a Novel Content Edge Caching Approach based on Multi-Agent Federated Reinforcement Learning in Internet of Vehicles.
Yangbo LiuBomin MaoPublished in: WOCC (2023)
Keyphrases
- reinforcement learning
- multi agent
- dynamic content
- function approximation
- traffic signal control
- edge detection
- multi agent environments
- edge information
- state space
- cooperative
- learning algorithm
- multimedia
- real time
- multiagent systems
- learning agents
- content providers
- multiple agents
- digital libraries
- multi agent reinforcement learning
- bulletin board
- proxy servers
- temporal difference
- digital content
- prefetching
- data access
- multimedia data
- markov decision processes
- autonomous agents
- optimal policy
- weighted graph
- dynamic environments
- learning process
- vehicle detection
- edge detector
- web content
- mobile internet
- metadata