Mungojerrie  1.0
Mungojerrie
Functions
Learner.cc File Reference

Reinforcement learning algorithms. More...

#include "Learner.hh"
Include dependency graph for Learner.cc:

Functions

GymAction getGreedyAction (GymObservation const &observation, Qtype const &Q1, Qtype const &Q2, Player player)
 
GymAction getEpsilonGreedyAction (double epsilon, vector< GymAction > const &actions, GymObservation const &observation, Qtype const &Q1, Qtype const &Q2, Player player)
 
GymAction getGreedyAction (GymObservation const &observation, Qtype const &Q, Player player)
 
GymAction getMinAction (GymObservation const &observation, Qtype const &Q, Player player)
 
GymAction getEpsilonMinAction (double epsilon, vector< GymAction > const &actions, GymObservation const &observation, Qtype const &Q, Player player)
 
GymAction getEpsilonGreedyAction (double epsilon, vector< GymAction > const &actions, GymObservation const &observation, Qtype const &Q, Player player)
 
GymAction getRandomAction (vector< GymAction > const &actions, GymObservation const &observation, Qtype const &Q, Player player)
 

Detailed Description

Reinforcement learning algorithms.

Author
Mateo Perez, Fabio Somenzi, Ashutosh Trivedi