Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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using System.Collections;
using System.Collections.Generic;
using UnityEngine;
/** \brief AcademyParameters is a structure containing basic information about the
* training environment. */
/** The AcademyParameters will be sent via socket at the start of the Environment.
* This structure does not need to be modified.
*/
public struct AcademyParameters
{
public string AcademyName;
/**< \brief The name of the Academy. If the communicator is External,
* it will be the name of the Academy GameObject */
public Dictionary<string, float> resetParameters;
/**< \brief The default reset parameters are sent via socket*/
public List<string> brainNames;
/**< \brief A list of the External brains names sent via socket*/
public List<BrainParameters> brainParameters;
/**< \brief A list of the External brains parameters sent via socket*/
}
public enum ExternalCommand
{
STEP,
RESET,
QUIT
}
/**
* This is the interface used to generate coordinators.
* This does not need to be modified nor implemented to create a
* Unity environment.
*/
public interface Communicator
{
/// Implement this method to allow brains to subscribe to the
/// decisions made outside of Unity
void SubscribeBrain(Brain brain);
/// Implement this method to initialize the communicator
void InitializeCommunicator();
/// Implement this method to receive actions from outside of Unity and
/// update the actions of the brains that subscribe
void UpdateActions();
/// Implement this method to return the ExternalCommand that
/// was given outside of Unity
ExternalCommand GetCommand();
/// Implement this method to return the new dictionary of resetParameters
/// that was given outside of Unity
Dictionary<string, float> GetResetParameters();
}