Graphical models in continuous domains for multiagent reinforcement learning.
Scott ProperKagan TumerPublished in: AAMAS (2013)
Keyphrases
- graphical models
- continuous domains
- multiagent reinforcement learning
- conditional independence
- multiagent systems
- belief propagation
- multi agent
- stochastic games
- cooperative
- reinforcement learning
- random variables
- probabilistic model
- reinforcement learning algorithms
- approximate inference
- bayesian networks
- structure learning
- evolutionary computation
- markov networks
- genetic algorithm
- conditional random fields
- evolution strategy
- higher dimensional
- evolutionary algorithm