General representation of samples:

\[ \Sigma = (s_i, a_i, s_i', r_i, w_i)_{i=0}^{m-1} \]

See Sample for definitions of individual values. More...

#include <Samples.hpp>

Public Member Functions
void	add_initial (const State &decstate)
	Adds an initial state.

void	add_initial (State &&decstate)
	Adds an initial state.

void	add_sample (const Sample< State, Action > &sample)
	Adds a sample starting in a decision state.

void	add_sample (State state_from, Action action, State state_to, prec_t reward, prec_t weight, long step, long run)
	Adds a sample starting in a decision state.

prec_t	mean_return (prec_t discount)
	Computes the discounted mean return over all the samples. More...

size_t	size () const
	Number of samples.

Sample< State, Action >	get_sample (long i) const
	Access to samples.

Sample< State, Action >	operator[] (long i) const
	Access to samples.

const vector< State > &	get_initial () const
	List of initial states.

const vector< State > &	get_states_from () const

const vector< Action > &	get_actions () const

const vector< State > &	get_states_to () const

const vector< prec_t > &	get_rewards () const

const vector< prec_t > &	get_weights () const

const vector< long > &	get_runs () const

const vector< long > &	get_steps () const

Detailed Description

General representation of samples:

\[ \Sigma = (s_i, a_i, s_i', r_i, w_i)_{i=0}^{m-1} \]

See Sample for definitions of individual values.

Template Parameters

State	Type defining states
Action	Type defining actions

Member Function Documentation

template<class State, class Action>

prec_t craam::msen::Samples< State, Action >::mean_return ( prec_t discount )

inline

Computes the discounted mean return over all the samples.

Parameters

discount Discount factor

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