Eavesdropping Game Based on Multi-Agent Deep Reinforcement Learning.
Delin GuoLan TangLvxi YangYing-Chang LiangPublished in: SPAWC (2022)
Keyphrases
- reinforcement learning
- multi agent
- function approximation
- multi agent environments
- state space
- learning process
- digital educational games
- intelligent agents
- learning agents
- reinforcement learning agents
- multi agent reinforcement learning
- cooperative
- multiagent systems
- reinforcement learning algorithms
- software agents
- temporal difference
- markov decision process
- single agent
- learning algorithm
- multi agent systems
- learning tools
- markov decision processes
- model free
- supervised learning
- coalition formation
- traffic signal control
- temporal difference learning
- optimal policy
- function approximators
- mobile learning
- multiple agents
- optimal control
- agent oriented
- autonomous agents
- action selection
- policy search
- e learning
- game based learning environment
- neural network