#include <mlpack/prereqs.hpp>#include <ensmallen.hpp>#include "replay/random_replay.hpp"#include <mlpack/methods/ann/activation_functions/tanh_function.hpp>#include <mlpack/methods/ann/loss_functions/mean_squared_error.hpp>#include <mlpack/methods/ann/visitor/parameters_visitor.hpp>#include "training_config.hpp"#include "sac_impl.hpp"
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Classes | |
| class | mlpack::rl::SAC< EnvironmentType, QNetworkType, PolicyNetworkType, UpdaterType, ReplayType > |
| Implementation of Soft Actor-Critic, a model-free off-policy actor-critic based deep reinforcement learning algorithm. More... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
Detailed Description
This file is the definition of SAC class, which implements the Soft Actor-Critic algorithm.
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.
