#include <mlpack/prereqs.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/empty_loss.hpp>#include "../training_config.hpp"
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Classes | |
| class | mlpack::rl::CategoricalDQN< OutputLayerType, InitType, NetworkType > |
| Implementation of the Categorical Deep Q-Learning network. More... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
Detailed Description
This file contains the implementation of the categorical deep q network.
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.
