Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems.
Bart van den BroekWim WiegerinckBert KappenPublished in: J. Artif. Intell. Res. (2008)
Keyphrases
- optimal control
- graphical models
- optimal control problems
- multi agent systems
- probabilistic inference
- exact inference
- map inference
- brownian motion
- factor graphs
- belief networks
- belief propagation
- bayesian networks
- approximate inference
- loopy belief propagation
- efficient inference algorithms
- nonparametric belief propagation
- undirected graphical models
- random variables
- probabilistic graphical models
- dynamic programming
- probabilistic model
- control problems
- stochastic control
- conditional random fields
- control strategy
- directed graphical models
- infinite horizon
- markov networks
- reinforcement learning
- probabilistic networks
- conditional independence
- graphical structure
- linear quadratic
- parameter learning
- relational dependency networks
- structured prediction
- real time
- partition function
- message passing
- conditional dependencies
- production planning
- structure learning
- markov chain monte carlo
- bayesian inference
- machine learning