Hierarchical reinforcement learning based on multi-agent cooperation game theory.
Hengliang TangChengang DongPublished in: Int. J. Wirel. Mob. Comput. (2019)
Keyphrases
- multi agent cooperation
- hierarchical reinforcement learning
- game theory
- game theoretic
- multi agent systems
- reinforcement learning
- cooperative
- model free
- nash equilibrium
- state abstraction
- mechanism design
- resource allocation
- nash equilibria
- statistical physics
- multi agent learning
- fictitious play
- cooperative game theory
- decision theory
- markov decision processes
- evolutionary game theory
- linear programming
- fixed point
- evolutionary algorithm
- computational complexity