bitrl & cuberl Documentation
Simulation engine for reinforcement learning agents
Loading...
Searching...
No Matches
cuberl::rl::algos::mc::FirstVisitMCSolverConfig Struct Reference

#include <first_visit_mc.h>

Public Attributes

real_t gamma {1.0}
 
real_t tolerance {1.0e-6}
 
real_t init_alpha {0.5}
 
real_t min_alpha {0.01}
 
real_t alpha_decay_ratio {0.3}
 
uint_t max_steps {100}
 
uint_t n_episodes {500}
 
std::string save_path {bitrl::consts::INVALID_STR}
 

Member Data Documentation

◆ alpha_decay_ratio

real_t cuberl::rl::algos::mc::FirstVisitMCSolverConfig::alpha_decay_ratio {0.3}

◆ gamma

real_t cuberl::rl::algos::mc::FirstVisitMCSolverConfig::gamma {1.0}

◆ init_alpha

real_t cuberl::rl::algos::mc::FirstVisitMCSolverConfig::init_alpha {0.5}

◆ max_steps

uint_t cuberl::rl::algos::mc::FirstVisitMCSolverConfig::max_steps {100}

◆ min_alpha

real_t cuberl::rl::algos::mc::FirstVisitMCSolverConfig::min_alpha {0.01}

◆ n_episodes

uint_t cuberl::rl::algos::mc::FirstVisitMCSolverConfig::n_episodes {500}

◆ save_path

std::string cuberl::rl::algos::mc::FirstVisitMCSolverConfig::save_path {bitrl::consts::INVALID_STR}

◆ tolerance

real_t cuberl::rl::algos::mc::FirstVisitMCSolverConfig::tolerance {1.0e-6}

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