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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167 行
4.2 KiB

using System;
using System.Collections.Generic;
using UnityEngine;
namespace Unity.MLAgents.Extensions.Teams
{
public class BaseTeamManager : ITeamManager, IDisposable
{
int m_StepCount;
int m_TeamMaxStep;
readonly int m_Id = TeamManagerIdCounter.GetTeamManagerId();
List<Agent> m_Agents = new List<Agent> { };
public BaseTeamManager()
{
Academy.Instance.TeamManagerStep += _ManagerStep;
}
public void Dispose()
{
Academy.Instance.TeamManagerStep -= _ManagerStep;
}
void _ManagerStep()
{
m_StepCount += 1;
if ((m_StepCount >= m_TeamMaxStep) && (m_TeamMaxStep > 0))
{
foreach (var agent in m_Agents)
{
if (agent.enabled)
{
agent.EpisodeInterrupted();
}
}
Reset();
}
}
/// <summary>
/// Register the agent to the TeamManager.
/// Registered agents will be able to receive team rewards from the TeamManager
/// and share observations during training.
/// </summary>
public virtual void RegisterAgent(Agent agent)
{
if (!m_Agents.Contains(agent))
{
m_Agents.Add(agent);
}
}
/// <summary>
/// Remove the agent from the TeamManager.
/// </summary>
public virtual void UnregisterAgent(Agent agent)
{
if (m_Agents.Contains(agent))
{
m_Agents.Remove(agent);
}
}
/// <summary>
/// Get the ID of the TeamManager.
/// </summary>
/// <returns>
/// TeamManager ID.
/// </returns>
public int GetId()
{
return m_Id;
}
/// <summary>
/// Get list of all agents registered to this TeamManager.
/// </summary>
/// <returns>
/// List of agents belongs to the TeamManager.
/// </returns>
public List<Agent> GetTeammates()
{
return m_Agents;
}
/// <summary>
/// Add team reward for all agents under this Teammanager.
/// Disabled agent will not receive this reward.
/// </summary>
public void AddTeamReward(float reward)
{
foreach (var agent in m_Agents)
{
if (agent.enabled)
{
agent.AddTeamReward(reward);
}
}
}
/// <summary>
/// Set team reward for all agents under this Teammanager.
/// Disabled agent will not receive this reward.
/// </summary>
public void SetTeamReward(float reward)
{
foreach (var agent in m_Agents)
{
if (agent.enabled)
{
agent.SetTeamReward(reward);
}
}
}
/// <summary>
/// Returns the current step counter (within the current episode).
/// </summary>
/// <returns>
/// Current step count.
/// </returns>
public int StepCount
{
get { return m_StepCount; }
}
public int TeamMaxStep
{
get { return m_TeamMaxStep; }
}
public void SetTeamMaxStep(int maxStep)
{
m_TeamMaxStep = maxStep;
}
/// <summary>
/// End Episode for all agents under this TeamManager.
/// </summary>
public void EndTeamEpisode()
{
foreach (var agent in m_Agents)
{
if (agent.enabled)
{
agent.EndEpisode();
}
}
Reset();
}
/// <summary>
/// End Episode for all agents under this TeamManager.
/// </summary>
public virtual void OnTeamEpisodeBegin()
{
}
void Reset()
{
m_StepCount = 0;
OnTeamEpisodeBegin();
}
}
}