Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication.
Fei WangSalma EmaraIsidor KaplanBaochun LiTimothy ZeylPublished in: ICC (2023)
Keyphrases
- multi agent
- cooperative
- reinforcement learning
- agent communication
- multi agent systems
- distributed control
- multi agent reinforcement learning
- multiagent reinforcement learning
- fully distributed
- proxy cache
- communication networks
- multiagent systems
- single agent
- communication systems
- software agents
- reinforcement learning algorithms
- cooperative agents
- intelligent agents
- cooperating agents
- autonomous agents
- information sharing
- learning process
- function approximation
- weighted graph
- coalition formation
- query processing
- state space
- learning agents
- transfer learning
- learning algorithm
- edge detection
- temporal difference
- multiple agents
- game theory
- markov decision processes
- response time
- edge map
- web caching
- prefetching
- edge detector