GEGELATI

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Public Member Functions | Protected Member Functions | Protected Attributes | List of all members
Learn::LearningEnvironment Class Referenceabstract

Interface for creating a Learning Environment. More...

`#include <learningEnvironment.h>`

Inheritance diagram for Learn::LearningEnvironment:

## Public Member Functions
| LearningEnvironment ()=delete
| Delete the default constructor of a LearningEnvironment.
virtual | ~LearningEnvironment ()=default
| Default virtual destructor.
| LearningEnvironment (uint64_t nbAct, bool isDiscreteEnv=true, const std::vector< uint64_t > &initAct=std::vector< uint64_t >())
| Constructor for LearningEnviroment.
virtual LearningEnvironment * | clone () const
| Get a copy of the LearningEnvironment.
virtual bool | isCopyable () const
| Can the LearningEnvironment be copy constructed to evaluate several LearningAgent in parallel.
virtual bool | isUsingUtility () const
| Is the LearningEnvrionment using a utility in addition to the reward. Information needed for the logs.
uint64_t | getNbActions () const
| Get the number of actions available for this LearningEnvironment.
const std::vector< uint64_t > & | getInitActions () const
| Get the vector of initial actions available for this LearningEnvironment.
const bool | isDiscrete () const
| Get the information of the nature of the environment action type.
virtual void | doAction (double actionID)
| Execute an action on the LearningEnvironment.
virtual void | doActions (std::vector< double > vectActionID)
| Execute actions on the LearningEnvironment.
virtual void | reset (size_t seed=0, LearningMode mode=LearningMode::TRAINING, uint16_t iterationNumber=0, uint64_t generationNumber=0)=0
| Reset the LearningEnvironment.
virtual std::vector< std::reference_wrapper< const Data::DataHandler > > | getDataSources ()=0
| Get the data sources for this LearningEnvironment.
virtual double | getScore () const =0
| Returns the current score of the Environment.
virtual double | getUtility () const
| Returns the current utility of the Environment.
virtual bool | isTerminal () const =0
| Method for checking if the LearningEnvironment has reached a terminal state.

## Protected Member Functions
| LearningEnvironment (const LearningEnvironment &other)=default
| Make the default copy constructor protected.

## Protected Attributes
const uint64_t | nbActions
const bool | isDiscreteEnvironment
const std::vector< uint64_t > | initActions

## Detailed Description

Interface for creating a Learning Environment.

This class defines all the method that should be implemented for a Learner to interact with an learning environment and learn to interact with it.

Interaction with a learning environment are made through a discrete set of actions. As a result of these actions, the learning environment may update its state, accessible through the data sources it provides. The learning environment also provides a score resulting from the past actions, and a termination boolean indicating that the learningEnvironment has reached a final state, that no action will affect.

## Constructor & Destructor Documentation

## ◆ LearningEnvironment()

Learn::LearningEnvironment::LearningEnvironment | ( | uint64_t | nbAct,
|  | bool | isDiscreteEnv = true,
|  | const std::vector< uint64_t > & | initAct = std::vector<uint64_t>() )
| inline

Constructor for LearningEnviroment.

Parameters

  [in] | nbAct | number of actions that will be usable for interacting with this LearningEnviromnent.
  [in] | isDiscreteEnv | Boolean indicating if this environment uses discrete or continuous actions.
  [in] | initAct | init values of action if the TPG do not choose a continuous action. Default value set to a vector with size equal to nbAct and fill with zeros.

## Member Function Documentation

## ◆ clone()

Learn::LearningEnvironment * Learn::LearningEnvironment::clone | ( |  | ) | const
| virtual

Get a copy of the LearningEnvironment.

Default implementation returns a null pointer.

Returns
  a copy of the LearningEnvironment if it is copyable, otherwise this method returns a NULL pointer.

Copyright or © or Copr. IETR/INSA - Rennes (2019 - 2025) :

Karol Desnos kdesn.nosp@m.os@i.nosp@m.nsa-r.nosp@m.enne.nosp@m.s.fr (2019) Quentin Vacher qvach.nosp@m.er@i.nosp@m.nsa-r.nosp@m.enne.nosp@m.s.fr (2025)

GEGELATI is an open-source reinforcement learning framework for training artificial intelligence based on Tangled Program Graphs (TPGs).

This software is governed by the CeCILL-C license under French law and abiding by the rules of distribution of free software. You can use, modify and/ or redistribute the software under the terms of the CeCILL-C license as circulated by CEA, CNRS and INRIA at the following URL "http://www.cecill.info".

As a counterpart to the access to the source code and rights to copy, modify and redistribute granted by the license, users are provided only with a limited warranty and the software's author, the holder of the economic rights, and the successive licensors have only limited liability.

In this respect, the user's attention is drawn to the risks associated with loading, using, modifying and/or developing or reproducing the software by the user in light of its specific status of free software, that may mean that it is complicated to manipulate, and that also therefore means that it is reserved for developers and experienced professionals having in-depth computer knowledge. Users are therefore encouraged to load and test the software's suitability as regards their requirements in conditions enabling the security of their systems and/or data to be ensured and, more generally, to use and operate it in the same conditions as regards security.

The fact that you are presently reading this means that you have had knowledge of the CeCILL-C license and that you accept its terms.

## ◆ doAction()

void Learn::LearningEnvironment::doAction | ( | double | actionID | ) |
| virtual

Execute an action on the LearningEnvironment.

The purpose of this method is to execute an action, represented by an actionId comprised between 0 and nbActions - 1. The LearningEnvironment implementation only checks that the given actionID is comprised between 0 and nbActions - 1. It is the responsibility of this method to call the updateHash method on dataSources whose content have been affected by the action.

Parameters

  [in] | actionID | the double value representing the action to execute.

Exceptions

  std::runtime_error | if the actionID exceeds nbActions - 1.

Reimplemented in Learn::ClassificationLearningEnvironment.

## ◆ doActions()

void Learn::LearningEnvironment::doActions | ( | std::vector< double > | vectActionID | ) |
| virtual

Execute actions on the LearningEnvironment.

The purpose of this method is to execute actions, represented by a vector of actionId comprised, for actionId i between 0 and vectActions[i] - 1. The LearningEnvironment implementation only checks that the given actionID is comprised, for actionId i between 0 and vectActions[i] - 1. It is the responsibility of this method to call the updateHash method on dataSources whose content have been affected by the action.

If the size of the vector is one, this method launches the method doAction(double actionID), the actionID being the only integer in the vector.

Parameters

  [in] | vectActionID | the vector integer numbers of each actions to execute.

Exceptions

  std::runtime_error | if the actionsID[i] exceeds vectActions[i] 1.

## ◆ getDataSources()

virtual std::vector< std::reference_wrapper< const Data::DataHandler > > Learn::LearningEnvironment::getDataSources | ( |  | ) |
| pure virtual

Get the data sources for this LearningEnvironment.

This method returns a vector of reference to the DataHandler that will be given to the learningAgent, and to its Program to learn how to interact with the LearningEnvironment. Throughout the existence of the LearningEnvironment, data contained in the data will be modified, but never the number, nature or size of the dataHandlers. Since this methods return references to the DataHandler, the learningAgent will assume that the referenced dataHandler are automatically updated each time the doAction, or reset methods are called on the LearningEnvironment.

Returns
  a vector of references to the DataHandler.

## ◆ getInitActions()

const std::vector< uint64_t > & Learn::LearningEnvironment::getInitActions | ( |  | ) | const
| inline

Get the vector of initial actions available for this LearningEnvironment.

Returns
  the vector integer value of the initActions attribute.

## ◆ getNbActions()

uint64_t Learn::LearningEnvironment::getNbActions | ( |  | ) | const
| inline

Get the number of actions available for this LearningEnvironment.

Returns
  the integer value of the nbAction attribute.

## ◆ getScore()

virtual double Learn::LearningEnvironment::getScore | ( |  | ) | const
| pure virtual

Returns the current score of the Environment.

The returned score will be used as a reward during the learning phase of a LearningAgent.

Returns
  the current score for the LearningEnvironment.

Implemented in Learn::ClassificationLearningEnvironment.

## ◆ getUtility()

double Learn::LearningEnvironment::getUtility | ( |  | ) | const
| virtual

Returns the current utility of the Environment.

The returned utility is only an information to be used for logs.

Returns
  the current utility for the LearningEnvironment.

## ◆ isCopyable()

bool Learn::LearningEnvironment::isCopyable | ( |  | ) | const
| virtual

Can the LearningEnvironment be copy constructed to evaluate several LearningAgent in parallel.

Returns
  true if the LearningEnvironment can be copied and run in parallel. Default implementation returns false.

## ◆ isDiscrete()

const bool Learn::LearningEnvironment::isDiscrete | ( |  | ) | const
| inline

Get the information of the nature of the environment action type.

Returns
  true if the actions are discrete, either continuous.

## ◆ isTerminal()

virtual bool Learn::LearningEnvironment::isTerminal | ( |  | ) | const
| pure virtual

Method for checking if the LearningEnvironment has reached a terminal state.

The boolean value returned by this method, when equal to true, indicates that the LearningEnvironment has reached a terminal state. A terminal state is a state in which further calls to the doAction method will have no effects on the dataSources of the LearningEnvironment, or on its score. For example, this terminal state may be reached for a Game Over state within a game, or in case the objective of the learning agent has been successfuly reached.

Returns
  a boolean indicating termination.

## ◆ isUsingUtility()

bool Learn::LearningEnvironment::isUsingUtility | ( |  | ) | const
| virtual

Is the LearningEnvrionment using a utility in addition to the reward. Information needed for the logs.

Returns
  true if the LearningEnvironment is using utility. Default implementation returns false.

## ◆ reset()

virtual void Learn::LearningEnvironment::reset | ( | size_t | seed = 0,
|  | LearningMode | mode = LearningMode::TRAINING,
|  | uint16_t | iterationNumber = 0,
|  | uint64_t | generationNumber = 0 )
| pure virtual

Reset the LearningEnvironment.

Resetting a learning environment is needed to train an agent. Optionally seed can be given to this function to control the randomness of a LearningEnvironment (if any). When available, this feature will be used:

- for comparing the performance of several agents with the same random starting conditions.
- for training each agent with diverse starting conditions.

Parameters

  [in] | seed | the integer value for controlling the randomness of the LearningEnvironment.
  [in] | mode | LearningMode in which the Environment should be reset for the next set of actions.
  [in] | iterationNumber | the integer value to indicate the current iteration number when parameter nbIterationsPerPolicyEvaluation > 1
  [in] | generationNumber | the integer value to indicate the current generation number

Implemented in Learn::ClassificationLearningEnvironment.

## Member Data Documentation

## ◆ initActions

const std::vector<uint64_t> Learn::LearningEnvironment::initActions
| protected

Initial values of the continuous actions if actions are not taken by a TPG.

## ◆ isDiscreteEnvironment

const bool Learn::LearningEnvironment::isDiscreteEnvironment
| protected

Boolean indicating if this environment uses discrete or continuous actions.

## ◆ nbActions

const uint64_t Learn::LearningEnvironment::nbActions
| protected

Number of actions available for interacting with this LearningEnvironment

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

- D:/a/gegelati/gegelati/gegelatilib/include/learn/learningEnvironment.h
- D:/a/gegelati/gegelati/gegelatilib/src/learn/learningEnvironment.cpp