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156 行
5.0 KiB
156 行
5.0 KiB
using System.Collections;
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using System.Collections.Generic;
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using UnityEngine;
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#if UNITY_EDITOR
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using UnityEditor;
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#endif
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/// CoreBrain which decides actions using Player input.
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public class CoreBrainPlayer : ScriptableObject, CoreBrain
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{
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[SerializeField]
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private bool broadcast = true;
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[System.Serializable]
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private struct DiscretePlayerAction
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{
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public KeyCode key;
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public int value;
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}
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[System.Serializable]
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private struct ContinuousPlayerAction
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{
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public KeyCode key;
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public int index;
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public float value;
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}
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MLAgents.Batcher brainBatcher;
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[SerializeField]
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[Tooltip("The list of keys and the value they correspond to for continuous control.")]
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/// Contains the mapping from input to continuous actions
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private ContinuousPlayerAction[] continuousPlayerActions;
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[SerializeField]
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[Tooltip("The list of keys and the value they correspond to for discrete control.")]
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/// Contains the mapping from input to discrete actions
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private DiscretePlayerAction[] discretePlayerActions;
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[SerializeField]
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private int defaultAction = 0;
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/// Reference to the brain that uses this CoreBrainPlayer
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public Brain brain;
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/// Create the reference to the brain
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public void SetBrain(Brain b)
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{
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brain = b;
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}
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/// Nothing to implement
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/// Nothing to implement
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public void InitializeCoreBrain(MLAgents.Batcher brainBatcher)
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{
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if ((brainBatcher == null)
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|| (!broadcast))
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{
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this.brainBatcher = null;
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}
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else
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{
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this.brainBatcher = brainBatcher;
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this.brainBatcher.SubscribeBrain(brain.gameObject.name);
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}
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}
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/// Uses the continuous inputs or dicrete inputs of the player to
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/// decide action
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public void DecideAction(Dictionary<Agent, AgentInfo> agentInfo)
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{
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if (brainBatcher != null)
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{
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brainBatcher.SendBrainInfo(brain.gameObject.name, agentInfo);
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}
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if (brain.brainParameters.vectorActionSpaceType == SpaceType.continuous)
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{
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foreach (Agent agent in agentInfo.Keys)
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{
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var action = new float[brain.brainParameters.vectorActionSize];
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foreach (ContinuousPlayerAction cha in continuousPlayerActions)
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{
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if (Input.GetKey(cha.key))
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{
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action[cha.index] = cha.value;
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}
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}
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agent.UpdateVectorAction(action);
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}
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}
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else
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{
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foreach (Agent agent in agentInfo.Keys)
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{
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var action = new float[1] { defaultAction };
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foreach (DiscretePlayerAction dha in discretePlayerActions)
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{
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if (Input.GetKey(dha.key))
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{
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action[0] = (float)dha.value;
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break;
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}
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}
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agent.UpdateVectorAction(action);
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}
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}
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}
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/// Displays continuous or discrete input mapping in the inspector
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public void OnInspector()
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{
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#if UNITY_EDITOR
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EditorGUILayout.LabelField("", GUI.skin.horizontalSlider);
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broadcast = EditorGUILayout.Toggle(new GUIContent("Broadcast",
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"If checked, the brain will broadcast states and actions to Python."), broadcast);
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var serializedBrain = new SerializedObject(this);
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if (brain.brainParameters.vectorActionSpaceType == SpaceType.continuous)
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{
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GUILayout.Label("Edit the continuous inputs for your actions", EditorStyles.boldLabel);
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var chas = serializedBrain.FindProperty("continuousPlayerActions");
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serializedBrain.Update();
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EditorGUILayout.PropertyField(chas, true);
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serializedBrain.ApplyModifiedProperties();
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if (continuousPlayerActions == null)
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{
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continuousPlayerActions = new ContinuousPlayerAction[0];
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}
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foreach (ContinuousPlayerAction cha in continuousPlayerActions)
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{
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if (cha.index >= brain.brainParameters.vectorActionSize)
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{
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EditorGUILayout.HelpBox(string.Format("Key {0} is assigned to index {1} but the action size is only of size {2}"
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, cha.key.ToString(), cha.index.ToString(), brain.brainParameters.vectorActionSize.ToString()), MessageType.Error);
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}
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}
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}
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else
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{
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GUILayout.Label("Edit the discrete inputs for your actions", EditorStyles.boldLabel);
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defaultAction = EditorGUILayout.IntField("Default Action", defaultAction);
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var dhas = serializedBrain.FindProperty("discretePlayerActions");
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serializedBrain.Update();
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EditorGUILayout.PropertyField(dhas, true);
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serializedBrain.ApplyModifiedProperties();
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}
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#endif
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}
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}
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