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AIMA-Java Core Algorithms from the book Artificial Intelligence a Modern Approach 3rd Ed.

There is a newer version: 3.0.0

package aima.core.probability.mdp;

import aima.core.agent.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.
 * 
 * @param 
 *            the state type.
 * @param 
 *            the action type.
 * 
 * @author Ciaran O'Reilly
 * @author Ravi Mohan
 * 
 */
public interface Policy {
	/**
	 * π(s) is the action recommended by the policy π for state s.
	 * 
	 * @param s
	 *            the state s
	 * @return the action recommended by the policy π for state s.
	 */
	A action(S s);
}