GPDS: A multi-agent deep reinforcement learning game for anti-jamming secure computing in MEC network.
Miaojiang ChenWei LiuNing ZhangJunling LiYingying RenMeng YiAnfeng LiuPublished in: Expert Syst. Appl. (2022)
Keyphrases
- reinforcement learning
- multi agent
- leader follower
- video games
- function approximation
- cooperative
- multi agent simulation
- learning algorithm
- communication networks
- multi agent systems
- peer to peer
- network structure
- multi agent environments
- stochastic games
- application level
- key management
- mobile robot
- computer networks
- complex networks
- security issues
- reinforcement learning algorithms
- wireless sensor networks
- cooperative game
- resource allocation
- multiagent reinforcement learning
- machine learning
- american football
- extensive form games