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Aliased States Discerning in POMDPs and Improved Anticipatory Classifier System
2014
Procedia Computer Science
This paper improves a classifier system, ACS (Anticipatory Classifier System). The suggested classifier system is named ACSM (ACS with Memory) which consists of a method of discerning the aliased states in a POMDP (Partially Observable Markov Decision Process), and choosing the proper action based on the internal memory and the sensory information around the agent. A POMDP is one of Markov decision process such that an agent observes local information about the environment. This paper executes
doi:10.1016/j.procs.2014.08.082
fatcat:kp3z6swgefbtfiyz7qe2ciwnai