Hierarchical Nash-Q learning in continuous games.
Mostafa Sahraei-ArdakaniAshkan Rahimi-KianMajid Nili AhmadabadiPublished in: CIG (2008)
Keyphrases
- nash equilibrium
- nash equilibria
- game theory
- cooperative
- reinforcement learning
- stochastic games
- cooperative game
- game theoretic
- multi agent
- state space
- multiagent learning
- game playing
- continuous state spaces
- temporal difference learning
- function approximation
- learning algorithm
- multi agent reinforcement learning
- optimal policy
- equilibrium strategies
- hierarchical reinforcement learning
- dynamic programming
- reinforcement learning algorithms
- action space
- video games
- monte carlo
- utility function
- serious games
- computer games
- model free
- learning experience
- state action
- hierarchical structure
- solution concepts
- worst case
- game design
- neural network
- incomplete information