Graphical Models in Local, Asymmetric Multi-Agent Markov Decision Processes.
Dmitri A. DolgovEdmund H. DurfeePublished in: AAMAS (2004)
Keyphrases
- graphical models
- markov decision processes
- multi agent
- reinforcement learning
- planning under uncertainty
- belief propagation
- probabilistic inference
- random variables
- probabilistic model
- state space
- optimal policy
- approximate inference
- policy iteration
- bayesian networks
- probabilistic graphical models
- conditional random fields
- transition matrices
- dynamic programming
- conditional independence
- structure learning
- partially observable
- multi agent systems
- markov decision process
- markov networks
- belief networks
- multiple agents
- message passing
- reinforcement learning algorithms
- multiagent systems
- statistical inference
- single agent
- partially observable markov decision processes
- fixed point
- probability distribution
- influence diagrams