bitrl & cuberl Documentation
Simulation engine for reinforcement learning agents
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cuberl::rl::policies::StochasticAdaptorPolicy< PolicyType > Class Template Reference

The StochasticAdaptorPolicy class. More...

#include <policy_stochastic_adaptor.h>

Public Types

typedef PolicyType policy_type
 

Public Member Functions

 StochasticAdaptorPolicy (uint_t state_space_size, uint_t action_space_size, policy_type &policy)
 StochasticAdaptorPolicy.
 
 ~StochasticAdaptorPolicy ()=default
 Destructor.
 
virtual policy_typeoperator() (const std::map< std::string, std::any > &options)
 operator ()
 

Detailed Description

template<typename PolicyType>
class cuberl::rl::policies::StochasticAdaptorPolicy< PolicyType >

The StochasticAdaptorPolicy class.

Member Typedef Documentation

◆ policy_type

template<typename PolicyType >
typedef PolicyType cuberl::rl::policies::StochasticAdaptorPolicy< PolicyType >::policy_type

Constructor & Destructor Documentation

◆ StochasticAdaptorPolicy()

template<typename PolicyType >
cuberl::rl::policies::StochasticAdaptorPolicy< PolicyType >::StochasticAdaptorPolicy ( uint_t  state_space_size,
uint_t  action_space_size,
policy_type policy 
)

StochasticAdaptorPolicy.

Parameters
policy

◆ ~StochasticAdaptorPolicy()

template<typename PolicyType >
cuberl::rl::policies::StochasticAdaptorPolicy< PolicyType >::~StochasticAdaptorPolicy ( )
default

Destructor.

Member Function Documentation

◆ operator()()

template<typename PolicyType >
StochasticAdaptorPolicy< PolicyType >::policy_type & cuberl::rl::policies::StochasticAdaptorPolicy< PolicyType >::operator() ( const std::map< std::string, std::any > &  options)
virtual

operator ()

Parameters
options
Returns

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