Hierarchical Mean Field Games for Multiagent Systems With Tracking-Type Costs: Distributed $\varepsilon $-Stackelberg Equilibria.
Bing-Chang WangJi-Feng ZhangPublished in: IEEE Trans. Autom. Control. (2014)
Keyphrases
- multiagent systems
- nash equilibria
- game theory
- nash equilibrium
- multi agent
- game theoretic
- multiagent learning
- solution concepts
- incomplete information
- distributed artificial intelligence
- autonomous agents
- multi agent systems
- pure strategy
- distributed constraint optimization problems
- stochastic games
- learning agents
- cooperative
- agent coordination
- multiagent reinforcement learning
- agent technology
- trust model
- distributed systems
- mixed strategy
- pure nash equilibria
- multiagent planning
- leader follower
- decentralized control
- particle filter
- cooperative game theory
- mechanism design
- pure nash equilibrium
- robotic soccer
- coalition formation
- total cost
- stackelberg game
- repeated games
- markov random field
- cooperative games
- emergent behavior
- design methodologies
- mobile agents
- extensive form games