Distributed intrusion detection in partially observable Markov decision processes.
Doran ChakrabortySandip SenPublished in: AAMAS (2007)
Keyphrases
- partially observable markov decision processes
- distributed intrusion detection
- intrusion detection system
- finite state
- reinforcement learning
- dynamical systems
- planning under uncertainty
- belief state
- dynamic programming
- decision problems
- continuous state
- optimal policy
- intrusion detection
- markov decision processes
- multi agent
- state space
- partially observable stochastic games
- belief space
- mobile agents
- partially observable domains
- planning problems
- partially observable
- stochastic domains
- approximate solutions
- infinite horizon
- learning algorithm
- data mining
- model checking
- dec pomdps
- maximum likelihood
- sequential decision making problems
- supply chain