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

package org.tweetyproject.machinelearning.rl.mdp.algorithms

Related Packages

Package	Description
org.tweetyproject.machinelearning.rl.mdp

Class	Description
IterativePolicyEvaluation<S extends State,A extends Action>	Determines utilities iteratively.
OfflineAlgorithm<S extends State,A extends Action>	A general interface for algorithms to determine optimal policies directly from an MDP
PolicyEvaluation<S extends State,A extends Action>	The `PolicyEvaluation` interface provides methods to evaluate the utility of states in a Markov Decision Process (MDP) with respect to a given policy.
PolicyIteration<S extends State,A extends Action>	The policy iteration algorithm for determining optimal policies
ValueIteration<S extends State,A extends Action>	The value iteration algorithm for determining optimal policies