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229 行
8.2 KiB
229 行
8.2 KiB
using Unity.Barracuda;
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using System;
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using UnityEngine;
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using UnityEngine.Serialization;
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using Unity.MLAgents.Sensors.Reflection;
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namespace Unity.MLAgents.Policies
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{
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/// <summary>
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/// Defines what type of behavior the Agent will be using
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/// </summary>
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[Serializable]
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public enum BehaviorType
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{
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/// <summary>
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/// The Agent will use the remote process for decision making.
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/// if unavailable, will use inference and if no model is provided, will use
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/// the heuristic.
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/// </summary>
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Default,
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/// <summary>
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/// The Agent will always use its heuristic
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/// </summary>
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HeuristicOnly,
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/// <summary>
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/// The Agent will always use inference with the provided
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/// neural network model.
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/// </summary>
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InferenceOnly
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}
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/// <summary>
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/// Options for controlling how the Agent class is searched for <see cref="ObservableAttribute"/>s.
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/// </summary>
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public enum ObservableAttributeOptions
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{
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/// <summary>
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/// All ObservableAttributes on the Agent will be ignored. This is the
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/// default behavior. If there are no ObservableAttributes on the
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/// Agent, this will result in the fastest initialization time.
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/// </summary>
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Ignore,
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/// <summary>
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/// Only members on the declared class will be examined; members that are
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/// inherited are ignored. This is a reasonable tradeoff between
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/// performance and flexibility.
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/// </summary>
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/// <remarks>This corresponds to setting the
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/// [BindingFlags.DeclaredOnly](https://docs.microsoft.com/en-us/dotnet/api/system.reflection.bindingflags?view=netcore-3.1)
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/// when examining the fields and properties of the Agent class instance.
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/// </remarks>
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ExcludeInherited,
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/// <summary>
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/// All members on the class will be examined. This can lead to slower
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/// startup times.
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/// </summary>
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ExamineAll
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}
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/// <summary>
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/// A component for setting an <seealso cref="Agent"/> instance's behavior and
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/// brain properties.
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/// </summary>
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/// <remarks>At runtime, this component generates the agent's policy objects
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/// according to the settings you specified in the Editor.</remarks>
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[AddComponentMenu("ML Agents/Behavior Parameters", (int)MenuGroup.Default)]
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public class BehaviorParameters : MonoBehaviour
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{
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[HideInInspector, SerializeField]
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BrainParameters m_BrainParameters = new BrainParameters();
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/// <summary>
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/// The associated <see cref="Policies.BrainParameters"/> for this behavior.
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/// </summary>
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public BrainParameters BrainParameters
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{
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get { return m_BrainParameters; }
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internal set { m_BrainParameters = value; }
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}
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[HideInInspector, SerializeField]
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NNModel m_Model;
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/// <summary>
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/// The neural network model used when in inference mode.
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/// This should not be set at runtime; use <see cref="Agent.SetModel(string,NNModel,Policies.InferenceDevice)"/>
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/// to set it instead.
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/// </summary>
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public NNModel Model
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{
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get { return m_Model; }
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set { m_Model = value; UpdateAgentPolicy(); }
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}
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[HideInInspector, SerializeField]
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InferenceDevice m_InferenceDevice;
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/// <summary>
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/// How inference is performed for this Agent's model.
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/// This should not be set at runtime; use <see cref="Agent.SetModel(string,NNModel,Policies.InferenceDevice)"/>
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/// to set it instead.
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/// </summary>
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public InferenceDevice InferenceDevice
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{
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get { return m_InferenceDevice; }
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set { m_InferenceDevice = value; UpdateAgentPolicy();}
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}
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[HideInInspector, SerializeField]
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BehaviorType m_BehaviorType;
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/// <summary>
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/// The BehaviorType for the Agent.
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/// </summary>
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public BehaviorType BehaviorType
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{
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get { return m_BehaviorType; }
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set { m_BehaviorType = value; UpdateAgentPolicy(); }
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}
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[HideInInspector, SerializeField]
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string m_BehaviorName = "My Behavior";
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/// <summary>
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/// The name of this behavior, which is used as a base name. See
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/// <see cref="FullyQualifiedBehaviorName"/> for the full name.
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/// This should not be set at runtime; use <see cref="Agent.SetModel(string,NNModel,Policies.InferenceDevice)"/>
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/// to set it instead.
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/// </summary>
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public string BehaviorName
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{
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get { return m_BehaviorName; }
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set { m_BehaviorName = value; UpdateAgentPolicy(); }
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}
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/// <summary>
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/// The team ID for this behavior.
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/// </summary>
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[HideInInspector, SerializeField, FormerlySerializedAs("m_TeamID")]
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public int TeamId;
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// TODO properties here instead of Agent
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[FormerlySerializedAs("m_useChildSensors")]
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[HideInInspector]
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[SerializeField]
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[Tooltip("Use all Sensor components attached to child GameObjects of this Agent.")]
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bool m_UseChildSensors = true;
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/// <summary>
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/// Whether or not to use all the sensor components attached to child GameObjects of the agent.
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/// Note that changing this after the Agent has been initialized will not have any effect.
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/// </summary>
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public bool UseChildSensors
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{
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get { return m_UseChildSensors; }
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set { m_UseChildSensors = value; }
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}
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[HideInInspector, SerializeField]
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ObservableAttributeOptions m_ObservableAttributeHandling = ObservableAttributeOptions.Ignore;
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/// <summary>
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/// Determines how the Agent class is searched for <see cref="ObservableAttribute"/>s.
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/// </summary>
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public ObservableAttributeOptions ObservableAttributeHandling
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{
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get { return m_ObservableAttributeHandling; }
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set { m_ObservableAttributeHandling = value; }
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}
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/// <summary>
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/// Returns the behavior name, concatenated with any other metadata (i.e. team id).
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/// </summary>
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public string FullyQualifiedBehaviorName
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{
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get { return m_BehaviorName + "?team=" + TeamId; }
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}
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internal IPolicy GeneratePolicy(HeuristicPolicy.ActionGenerator heuristic)
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{
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switch (m_BehaviorType)
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{
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case BehaviorType.HeuristicOnly:
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return new HeuristicPolicy(heuristic, m_BrainParameters.NumActions);
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case BehaviorType.InferenceOnly:
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{
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if (m_Model == null)
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{
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var behaviorType = BehaviorType.InferenceOnly.ToString();
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throw new UnityAgentsException(
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$"Can't use Behavior Type {behaviorType} without a model. " +
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"Either assign a model, or change to a different Behavior Type."
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);
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}
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return new BarracudaPolicy(m_BrainParameters, m_Model, m_InferenceDevice);
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}
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case BehaviorType.Default:
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if (Academy.Instance.IsCommunicatorOn)
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{
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return new RemotePolicy(m_BrainParameters, FullyQualifiedBehaviorName);
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}
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if (m_Model != null)
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{
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return new BarracudaPolicy(m_BrainParameters, m_Model, m_InferenceDevice);
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}
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else
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{
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return new HeuristicPolicy(heuristic, m_BrainParameters.NumActions);
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}
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default:
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return new HeuristicPolicy(heuristic, m_BrainParameters.NumActions);
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}
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}
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internal void UpdateAgentPolicy()
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{
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var agent = GetComponent<Agent>();
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if (agent == null)
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{
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return;
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}
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agent.ReloadPolicy();
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}
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}
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}
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