Game-theoretic robotic offloading via multi-agent learning for agricultural applications in heterogeneous networks.
Anqi ZhuZhiwen ZengSongtao GuoHuimin LuMingfang MaZongtan ZhouPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- multi agent learning
- heterogeneous networks
- game theoretic
- game theory
- cooperative
- nash equilibrium
- resource allocation
- mobile robot
- imperfect information
- multiple types
- multi agent systems
- communication networks
- nash equilibria
- evolutionary game theory
- regret minimization
- learning algorithm
- link prediction
- decision problems
- intelligent agents
- semi supervised