#include <mlpack/core.hpp>
#include <mlpack/methods/ann/ffn.hpp>
#include <mlpack/methods/ann/init_rules/gaussian_init.hpp>
#include <mlpack/methods/ann/layer/layer.hpp>
#include <mlpack/methods/ann/loss_functions/mean_squared_error.hpp>
#include <mlpack/methods/ann/loss_functions/sigmoid_cross_entropy_error.hpp>
#include <mlpack/methods/reinforcement_learning/async_learning.hpp>
#include <mlpack/methods/reinforcement_learning/environment/cart_pole.hpp>
#include <mlpack/methods/reinforcement_learning/policy/greedy_policy.hpp>
#include <mlpack/methods/reinforcement_learning/policy/aggregated_policy.hpp>
#include <mlpack/methods/reinforcement_learning/training_config.hpp>
#include <ensmallen.hpp>
#include "catch.hpp"

Include dependency graph for async_learning_test.cpp:

Functions
	TEST_CASE ("OneStepQLearningTest", "[AsyncLearningTest]")

	TEST_CASE ("OneStepSarsaTest", "[AsyncLearningTest]")

	TEST_CASE ("NStepQLearningTest", "[AsyncLearningTest]")

Detailed Description

Author: Shangtong Zhang

Test for async deep RL methods.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.

Function Documentation

◆ TEST_CASE() [1/3]

TEST_CASE	(	"OneStepQLearningTest"	,
		""	[AsyncLearningTest]
	)

This is for the Travis CI server, in your own machine you should use more threads.

◆ TEST_CASE() [2/3]

TEST_CASE	(	"OneStepSarsaTest"	,
		""	[AsyncLearningTest]
	)

This is for the Travis CI server, in your own machine you shuold use more threads.

◆ TEST_CASE() [3/3]

TEST_CASE	(	"NStepQLearningTest"	,
		""	[AsyncLearningTest]
	)