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#include <mlpack/core.hpp>
#include "../mlpack/src/mlpack/methods/ann/ffn.hpp"
#include "../mlpack/src/mlpack/methods/ann/init_rules/gaussian_init.hpp"
#include "../mlpack/src/mlpack/methods/ann/layer/layer.hpp"
#include "../mlpack/src/mlpack/methods/ann/loss_functions/empty_loss.hpp"
#include "../mlpack/src/mlpack/methods/ann/loss_functions/mean_squared_error.hpp"
#include "../mlpack/src/mlpack/methods/reinforcement_learning/environment/env_type.hpp"
#include "../mlpack/src/mlpack/methods/reinforcement_learning/sac.hpp"
#include "../mlpack/src/mlpack/methods/reinforcement_learning/training_config.hpp"
/**
* @file methods/reinforcement_learning/environment/env_type.hpp
* @author Nishant Kumar
*
* This file defines a dummy environment to be used with gym_tcp_api.
*
* 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.