Library for running Open AI gym in Java
I've setup a variety of ways to create any environment for full flexibility
try (Gym gym = new Gym()) {
//try (GymEnvironment<Box, Box> env = new GymEnvironment<Box,Box>("BipedalWalker-v2")) {
try (BoxBoxEnvironment env = gym.makeBoxBox("BipedalWalker-v2")) {
// try (BoxBoxEnvironment env = new BoxBoxEnvironment("BipedalWalker-v2", gym)) {
final BoxSpace actionSpace = (BoxSpace) env.getActionSpace();
final BoxSpace observationSpace = (BoxSpace) env.getObservationSpace();
final Box initialState = env.reset();
for (int i = 0; i < 1; i++) {
final ActionResult<Box> result = env.step(new Box(1, 1, 1, 1));
final Box observation = result.getObservation();
final double reward = result.getReward();
final boolean done = result.isDone();
}
}
}Note: The GymEnvironment class is for utility, and is tightly coupled with its own Gym instance (a python subprocess).