mlpack 3.4.2
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Go to the source code of this file.
Classes | |
class | AsyncLearning< WorkerType, EnvironmentType, NetworkType, UpdaterType, PolicyType > |
Wrapper of various asynchronous learning algorithms, e.g. More... | |
Namespaces | |
namespace | mlpack |
Linear algebra utility functions, generally performed on matrices or vectors. | |
namespace | mlpack::rl |
Typedefs | |
template<typename EnvironmentType , typename NetworkType , typename UpdaterType , typename PolicyType > | |
using | NStepQLearning = AsyncLearning< NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, EnvironmentType, NetworkType, UpdaterType, PolicyType > |
Convenient typedef for async n step q-learning. More... | |
template<typename EnvironmentType , typename NetworkType , typename UpdaterType , typename PolicyType > | |
using | OneStepQLearning = AsyncLearning< OneStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, EnvironmentType, NetworkType, UpdaterType, PolicyType > |
Convenient typedef for async one step q-learning. More... | |
template<typename EnvironmentType , typename NetworkType , typename UpdaterType , typename PolicyType > | |
using | OneStepSarsa = AsyncLearning< OneStepSarsaWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >, EnvironmentType, NetworkType, UpdaterType, PolicyType > |
Convenient typedef for async one step Sarsa. More... | |
This file is the definition of AsyncLearning class, which is wrapper for various asynchronous learning algorithms.
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.
Definition in file async_learning.hpp.