Optimality and Equilibrium of Exploration Ratio for Multiagent Learning in Nonstationary Environments.
Itsuki NodaPublished in: MABS (2015)
Keyphrases
- non stationary
- multiagent learning
- nash equilibria
- multi agent
- game theory
- multi agent learning
- multiagent systems
- resource allocation
- game theoretic
- nash equilibrium
- random fields
- adaptive algorithms
- optimal solution
- dynamic environments
- incomplete information
- evolutionary game theory
- cooperative
- stochastic games
- discrete valued
- fractional brownian motion
- machine learning
- customer demand
- decision problems
- computationally efficient
- multi agent systems
- artificial intelligence