A Cooperative Edge Caching Approach Based on Multi-Agent Deep Reinforcement Learning.
Xiang CaoNingjiang ChenXuemei YuanYifei LiuPublished in: CSCWD (2023)
Keyphrases
- multi agent
- cooperative
- reinforcement learning
- multi agent systems
- multi agent reinforcement learning
- proxy cache
- edge information
- function approximation
- edge detection
- query processing
- multi agent environments
- learning agents
- single agent
- state space
- multiagent reinforcement learning
- machine learning
- model free
- autonomous agents
- cooperative agents
- reinforcement learning algorithms
- cooperating agents
- optimal policy
- edge detector
- data access
- game theory
- multiagent systems
- intelligent agents
- heterogeneous agents
- learning algorithm
- partially observable
- optimal control
- markov decision processes
- temporal difference
- access patterns
- partial observability
- coalition formation
- weighted graph
- response time
- supervised learning
- caching scheme
- learning process
- solve complex tasks