aima.core.probability.mdp

Interface Policy<S,A extends Action>

Type Parameters:

S - the state type.

A - the action type.

All Known Implementing Classes:

LookupPolicy

public interface Policy<S,A extends Action>

Artificial Intelligence A Modern Approach (3rd Edition): page 647.

A solution to a Markov decision process is called a policy. It specifies what the agent should do for any state that the agent might reach. It is traditional to denote a policy by π, and π(s) is the action recommended by the policy π for state s. If the agent has a complete policy, then no matter what the outcome of any action, the agent will always know what to do next.

Author:

Ciaran O'Reilly, Ravi Mohan

Method Summary

Modifier and Type	Method and Description
A	action(S s) π(s) is the action recommended by the policy π for state s.

Method Detail

action

A action(S s)

π(s) is the action recommended by the policy π for state s.

Parameters:

s - the state s

Returns:

the action recommended by the policy π for state s.