This class represents a policy always picking the same action. More...
#include <AIToolbox/Factored/Bandit/Policies/SingleActionPolicy.hpp>
Public Member Functions | |
| SingleActionPolicy (Action a) | |
| Basic constructor. More... | |
| virtual Action | sampleAction () const override |
| This function always return the current action. More... | |
| virtual double | getActionProbability (const Action &a) const override |
| This function returns the probability of taking the specified action in the specified state. More... | |
| void | updateAction (Action a) |
| This function updates the currently hold action. More... | |
 Public Member Functions inherited from AIToolbox::PolicyInterface< void, void, Action > | |
| PolicyInterface (Action a) | |
| Basic constructor. More... | |
| virtual | ~PolicyInterface () |
| Basic virtual destructor. More... | |
| virtual double | getActionProbability (const Action &a) const =0 |
| This function returns the probability of taking the specified action. More... | |
| const Action & | getA () const |
| This function returns the number of available actions to the agent. More... | |
Additional Inherited Members | |
| Public Types inherited from AIToolbox::Factored::Bandit::PolicyInterface | |
| using | Base = AIToolbox::PolicyInterface< void, void, Action > |
| Protected Attributes inherited from AIToolbox::PolicyInterface< void, void, Action > | |
| Action | A |
| RandomEngine | rand_ |
Detailed Description
This class represents a policy always picking the same action.
Since there are methods which in order to learn automatically compute a best action for the next time step, it is useful to be able to wrap those actions into a policy in order to be joined to other policies (like epsilon-greedy, for example).
This class is a simple wrapper that always return the last action that has been set.
Constructor & Destructor Documentation
◆ SingleActionPolicy()
| AIToolbox::Factored::Bandit::SingleActionPolicy::SingleActionPolicy | ( | Action | a | ) |
Basic constructor.
- Parameters
-
a The number of actions available to the agent.
Member Function Documentation
◆ getActionProbability()
|
overridevirtual |
This function returns the probability of taking the specified action in the specified state.
- Parameters
-
a The selected action.
- Returns
- One if the action matches the currently saved one, zero otherwise.
◆ sampleAction()
|
overridevirtual |
This function always return the current action.
- Returns
- The currently saved action.
Implements AIToolbox::PolicyInterface< void, void, Action >.
◆ updateAction()
| void AIToolbox::Factored::Bandit::SingleActionPolicy::updateAction | ( | Action | a | ) |
This function updates the currently hold action.
- Parameters
-
a The new action we must return.
The documentation for this class was generated from the following file:
- include/AIToolbox/Factored/Bandit/Policies/SingleActionPolicy.hpp