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A Java client for Open AI's Reinforcement Learning Gym

There is a newer version: 1.0.0-beta2

package org.deeplearning4j.rl4j.space;

/**
 * @param  the type of Action
 * @author rubenfiszel ([email protected]) on 7/8/16.
 *         
 *         Should contain contextual information about the Action space, which is the space of all the actions that could be available.
 *         Also must know how to return a randomly uniformly sampled action.
 */
public interface ActionSpace {

    /**
     * @return A randomly uniformly sampled action,
     */
    A randomAction();

    Object encode(A action);

    int getSize();

    A noOp();

}