Files
cs8803p4/src/aima/core/probability/mdp/RewardFunction.java
Woody Folsom d0ee1e647b Implemented agent which chooses to play winning, losing or random moves by solving a simplified MDP model of the game using policy iteration.
Portions of MDP/solver code by Ciaran O'Reilly and Ravi Mohan used under MIT license.
2012-04-30 13:35:40 -04:00

21 lines
430 B
Java

package aima.core.probability.mdp;
/**
* An interface for MDP reward functions.
*
* @param <S>
* the state type.
* @author Ciaran O'Reilly
* @author Ravi Mohan
*/
public interface RewardFunction<S> {
/**
* Get the reward associated with being in state s.
*
* @param s
* the state whose award is sought.
* @return the reward associated with being in state s.
*/
double reward(S s);
}