AIToolbox
A library that offers tools for AI problem solving.
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Simple typedef for most of MDP's policy needs. More...
#include <AIToolbox/MDP/Policies/PolicyInterface.hpp>
Public Types | |
using | Base = AIToolbox::PolicyInterface< size_t, size_t, size_t > |
Public Member Functions | |
virtual Matrix2D | getPolicy () const =0 |
This function returns a matrix containing all probabilities of the policy. More... | |
Public Member Functions inherited from AIToolbox::PolicyInterface< size_t, size_t, size_t > | |
PolicyInterface (size_t s, size_t a) | |
Basic constructor. More... | |
virtual | ~PolicyInterface () |
Basic virtual destructor. More... | |
virtual size_t | sampleAction (const size_t &s) const=0 |
This function chooses a random action for state s, following the policy distribution. More... | |
virtual double | getActionProbability (const size_t &s, const size_t &a) const=0 |
This function returns the probability of taking the specified action in the specified state. More... | |
const size_t & | getS () const |
This function returns the number of states of the world. More... | |
const size_t & | getA () const |
This function returns the number of available actions to the agent. More... | |
Additional Inherited Members | |
Protected Attributes inherited from AIToolbox::PolicyInterface< size_t, size_t, size_t > | |
size_t | S |
size_t | A |
RandomEngine | rand_ |
Simple typedef for most of MDP's policy needs.
using AIToolbox::MDP::PolicyInterface::Base = AIToolbox::PolicyInterface<size_t, size_t, size_t> |
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pure virtual |
This function returns a matrix containing all probabilities of the policy.
Note that this may be expensive to compute, and should not be called often (aside from the fact that it needs to allocate a new Matrix2D each time).
Ideally this function can be called only when there is a repeated need to access the same policy values in an efficient manner.
Implemented in AIToolbox::MDP::WoLFPolicy, AIToolbox::MDP::QSoftmaxPolicy, AIToolbox::MDP::PolicyWrapper, AIToolbox::MDP::PGAAPPPolicy, AIToolbox::MDP::QGreedyPolicy, AIToolbox::MDP::BanditPolicyAdaptor< BanditPolicy >, and AIToolbox::MDP::EpsilonPolicy.