Package Catalano.MachineLearning.Exploration

The Catalano.MachineLearning.Exploration namespace contains interfaces and classes for exploration algorithms of machine learning.

See: Description

Interface Summary

Interface	Description
IExplorationPolicy	The interface describes exploration policies, which are used in Reinforcement Learning to explore state space.

Class Summary

Class	Description
BoltzmannExploration	The class implements exploration policy base on Boltzmann distribution.
EpsilonGreedyExploration	The class implements epsilon greedy exploration policy.
QLearning	The class provides implementation of Q-Learning algorithm, known as off-policy Temporal Difference control.
RouletteWheelExploration	The class implements roulette whell exploration policy.
Sarsa	The class provides implementation of Sarse algorithm, known as on-policy Temporal Difference control.
TabuSearchExploration	Tabu search exploration policy.

Package Catalano.MachineLearning.Exploration Description

The Catalano.MachineLearning.Exploration namespace contains interfaces and classes for exploration algorithms of machine learning.