Improvement in Game Agent Control Using State-Action Value Scaling.
Leo GalwayDarryl CharlesMichaela M. BlackPublished in: ESANN (2008)
Keyphrases
- state action
- stochastic games
- evaluation function
- reinforcement learning
- average reward
- nash equilibrium
- nash equilibria
- multi agent
- control strategy
- multi agent systems
- state transitions
- computer games
- game theory
- action selection
- action space
- markov decision process
- cooperative
- optimal control
- kernel matrix
- reward function
- function approximators
- decision making
- reinforcement learning algorithms
- belief state
- multiple agents
- video games
- fixed point
- autonomous agents