Mdp::ActionSelectionStrategy Class Reference

#include <actionSelectionStrategy.h>

Inheritance diagram for Mdp::ActionSelectionStrategy:

Public Member Functions
virtual std::vector< double >	generatePolicy (const std::vector< double > &, action_t bestAction)=0

Detailed Description

Definition at line 20 of file actionSelectionStrategy.h.

Member Function Documentation

virtual std::vector<double> Mdp::ActionSelectionStrategy::generatePolicy ( const std::vector< double > &  , action_t  bestAction  )

pure virtual

Generate the policy from the vector of action values (given a given state)

Implemented in Mdp::GibbsActionSelection, and Mdp::EpsilonGreedy.

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The documentation for this class was generated from the following file:

• src/mdp/learning/reinforcementLearning/actionSelection/actionSelectionStrategy.h