Uses of Class
org.tweetyproject.machinelearning.rl.mdp.MarkovDecisionProcess

Packages that use MarkovDecisionProcess

Package	Description
org.tweetyproject.machinelearning.rl.mdp.algorithms

Uses of MarkovDecisionProcess in org.tweetyproject.machinelearning.rl.mdp.algorithms

Methods in org.tweetyproject.machinelearning.rl.mdp.algorithms with parameters of type MarkovDecisionProcess

Modifier and Type	Method	Description
Policy<S,A>	OfflineAlgorithm.getPolicy(Map<S,Double> utilities, MarkovDecisionProcess<S,A> mdp, double gamma)	Determines the best policy, given the utilities
abstract Policy<S,A>	OfflineAlgorithm.getPolicy(MarkovDecisionProcess<S,A> mdp, double gamma)	Determines the optimal policy for the given MDP.
Policy<S,A>	PolicyIteration.getPolicy(MarkovDecisionProcess<S,A> mdp, double gamma)
Policy<S,A>	ValueIteration.getPolicy(MarkovDecisionProcess<S,A> mdp, double gamma)
Map<S,Double>	IterativePolicyEvaluation.getUtilities(MarkovDecisionProcess<S,A> mdp, Policy<S,A> pi, double gamma)
Map<S,Double>	PolicyEvaluation.getUtilities(MarkovDecisionProcess<S,A> mdp, Policy<S,A> pi, double gamma)	Determines the utilities of the states in the MDP wrt.