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using UnityEngine; using UnityEngine.UI; namespace TapSDK.UI { public class ToastPanelOpenParam : IOpenPanelParameter { public float popupTime; public string text; public ToastPanelOpenParam(string text, float popupTime) { this.text = text; this.popupT...
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import sys import os import codecs import shutil from chardet.universaldetector import UniversalDetector import chardet def getAllFiles(path, file_list): dir_list = os.listdir(path) for x in dir_list: new_x = os.path.join(path, x) if os.path.isdir(new_x): getAllFiles(new_x, fi...
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test_linux_protobuf_generation: name: Protobuf Generation Tests agent: type: Unity::VM image: ml-agents/ml-agents-ubuntu-18.04:latest flavor: b1.large variables: GRPC_VERSION: "1.14.1" CS_PROTO_PATH: "com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects" commands: - | sudo apt-get ...
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using UnityEngine; public class HallwaySettings : MonoBehaviour { public float agentRunSpeed; public float agentRotationSpeed; public Material goalScoredMaterial; // when a goal is scored the ground will use this material for a few seconds. public Material failMaterial; // when fail, the ground will us...
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using UnityEngine; using UnityEngine.Events; public class GoalDetectTrigger : MonoBehaviour { [Header("Trigger Collider Tag To Detect")] public string tagToDetect = "goal"; //collider tag to detect [Header("Goal Value")] public float GoalValue = 1; private Collider m_col; [System.Serializabl...
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using System; using System.Linq; using UnityEngine; using Random = UnityEngine.Random; using Unity.MLAgents; using Unity.MLAgents.Actuators; using Unity.MLAgents.Sensors; public class PyramidAgent : Agent { public GameObject area; PyramidArea m_MyArea; Rigidbody m_AgentRb; PyramidSwitch m_SwitchLogic; ...
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using UnityEngine; public class NumberTile : MonoBehaviour { public int NumberValue; public Material DefaultMaterial; public Material SuccessMaterial; private bool m_Visited; private MeshRenderer m_Renderer; public bool IsVisited { get { return m_Visited; } } public void ...
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# Unity ML-Agents Toolkit Survey Your opinion matters a great deal to us. Only by hearing your thoughts on the Unity ML-Agents Toolkit can we continue to improve and grow. Please take a few minutes to let us know about it. Please email us at [ml-agents@unity3d.com](mailto:ml-agents@unity3d.com). <!-- [Fill out the su...
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#if UNITY_2020_1_OR_NEWER using System.Collections.Generic; using UnityEngine; namespace Unity.MLAgents.Extensions.Sensors { /// <summary> /// Utility class to track a hierarchy of ArticulationBodies. /// </summary> public class ArticulationBodyPoseExtractor : PoseExtractor { ArticulationB...
ml-agents/com.unity.ml-agents.extensions/Runtime/Sensors/ArticulationBodyPoseExtractor.cs/0
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using System.Collections.Generic; using UnityEngine; namespace Unity.MLAgents.Extensions.Sensors { /// <summary> /// Utility class to track a hierarchy of RigidBodies. These are assumed to have a root node, /// and child nodes are connect to their parents via Joints. /// </summary> public class Rig...
ml-agents/com.unity.ml-agents.extensions/Runtime/Sensors/RigidBodyPoseExtractor.cs/0
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#if UNITY_2020_1_OR_NEWER using UnityEngine; using NUnit.Framework; using Unity.MLAgents.Extensions.Sensors; namespace Unity.MLAgents.Extensions.Tests.Sensors { public class ArticulationBodyPoseExtractorTests { [TearDown] public void RemoveGameObjects() { var objects = GameO...
ml-agents/com.unity.ml-agents.extensions/Tests/Runtime/Sensors/ArticulationBodyPoseExtractorTests.cs/0
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{ "name": "com.unity.ml-agents.extensions", "displayName": "ML Agents Extensions", "version": "0.6.1-preview", "unity": "2023.2", "description": "A source-only package for new features based on ML-Agents", "dependencies": { "com.unity.ml-agents": "3.0.0-exp.1", "com.unity.modules.physics": "1.0.0" ...
ml-agents/com.unity.ml-agents.extensions/package.json/0
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namespace Unity.MLAgents { /// <summary> /// Grouping for use in AddComponentMenu (instead of nesting the menus). /// </summary> internal enum MenuGroup { Default = 0, Sensors = 50, Actuators = 100 } }
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using Unity.Sentis; using UnityEngine.Assertions; namespace Unity.MLAgents.Inference { internal static class SymbolicTensorShapeExtensions { public static long[] ToArray(this SymbolicTensorShape shape) { var shapeOut = new long[shape.rank]; // TODO investigate how criti...
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using System.Collections.Generic; using System.Diagnostics; using Unity.MLAgents.Actuators; using Unity.MLAgents.Sensors; using Unity.MLAgents.Analytics; namespace Unity.MLAgents.Policies { /// <summary> /// The Remote Policy only works when training. /// When training your Agents, the RemotePolicy will b...
ml-agents/com.unity.ml-agents/Runtime/Policies/RemotePolicy.cs/0
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namespace Unity.MLAgents.Sensors.Reflection { /// <summary> /// Sensor that wraps a boolean field or property of an object, and returns /// that as an observation. /// </summary> internal class BoolReflectionSensor : ReflectionSensorBase { public BoolReflectionSensor(ReflectionSensorInfo...
ml-agents/com.unity.ml-agents/Runtime/Sensors/Reflection/BoolReflectionSensor.cs/0
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namespace Unity.MLAgents.Sensors.Reflection { /// <summary> /// Sensor that wraps a Vector3 field or property of an object, and returns /// that as an observation. /// </summary> internal class Vector3ReflectionSensor : ReflectionSensorBase { public Vector3ReflectionSensor(ReflectionSens...
ml-agents/com.unity.ml-agents/Runtime/Sensors/Reflection/Vector3ReflectionSensor.cs/0
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using UnityEngine; namespace Unity.MLAgents.Sensors { /// <summary> /// A SensorComponent that creates a <see cref="VectorSensor"/>. /// </summary> [AddComponentMenu("ML Agents/Vector Sensor", (int)MenuGroup.Sensors)] public class VectorSensorComponent : SensorComponent { /// <summary> ...
ml-agents/com.unity.ml-agents/Runtime/Sensors/VectorSensorComponent.cs/0
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using System.Collections.Generic; using System.Linq; using NUnit.Framework; using Unity.MLAgents.Actuators; namespace Unity.MLAgents.Tests.Actuators { [TestFixture] public class ActionSpecTests { [Test] public void ActionSpecCombineTest() { var as0 = new ActionSpec(3, ne...
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using System.Linq; using NUnit.Framework; using Unity.Mathematics; using Unity.MLAgents.Areas; using UnityEngine; namespace Unity.MLAgents.Tests.Areas { [TestFixture] public class TrainingAreaReplicatorTests { TrainingAreaReplicator m_Replicator; [SetUp] public void Setup() ...
ml-agents/com.unity.ml-agents/Tests/Editor/Areas/TrainingAreaReplicatorTests.cs/0
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using System.Collections.Generic; using NUnit.Framework; using Unity.Sentis; using Unity.MLAgents.Actuators; using Unity.MLAgents.Inference; namespace Unity.MLAgents.Tests { public class EditModeTestInternalBrainTensorApplier { class TestAgent : Agent { } [Test] public void Constructio...
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using System.Collections.Generic; using NUnit.Framework; using Unity.MLAgents.Actuators; using Unity.MLAgents.Integrations.Match3; using UnityEngine; namespace Unity.MLAgents.Tests.Integrations.Match3 { internal class SimpleBoard : AbstractBoard { public int Rows; public int Columns; pu...
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using NUnit.Framework; using Unity.MLAgents.SideChannels; using UnityEngine; namespace Unity.MLAgents.Tests { public class EngineConfigurationChannelTests { float m_OldTimeScale = 1.0f; [SetUp] public void Setup() { m_OldTimeScale = Time.timeScale; } ...
ml-agents/com.unity.ml-agents/Tests/Editor/SideChannels/EngineConfigurationChannelTests.cs/0
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behaviors: PushBlock: trainer_type: ppo hyperparameters: batch_size: 128 buffer_size: 2048 learning_rate: 0.0003 beta: 0.01 epsilon: 0.2 lambd: 0.95 num_epoch: 3 learning_rate_schedule: linear network_settings: normalize: false hidden_units: 256 ...
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behaviors: Pyramids: trainer_type: ppo hyperparameters: batch_size: 128 buffer_size: 2048 learning_rate: 0.0003 beta: 0.01 epsilon: 0.2 lambd: 0.95 num_epoch: 3 learning_rate_schedule: linear network_settings: normalize: false hidden_units: 512 ...
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behaviors: PushBlock: trainer_type: sac hyperparameters: learning_rate: 0.0003 learning_rate_schedule: constant batch_size: 128 buffer_size: 50000 buffer_init_steps: 0 tau: 0.005 steps_per_update: 10.0 save_replay_buffer: false init_entcoef: 0.05 rew...
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# ML-Agents Toolkit Glossary - **Academy** - Singleton object which controls timing, reset, and training/inference settings of the environment. - **Action** - The carrying-out of a decision on the part of an agent within the environment. - **Agent** - Unity Component which produces observations and takes actions i...
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# Unity ML-Agents Toolkit Documentation ## Installation & Set-up - [Installation](Installation.md) - [Using Virtual Environment](Using-Virtual-Environment.md) ## Getting Started - [Getting Started Guide](Getting-Started.md) - [ML-Agents Toolkit Overview](ML-Agents-Overview.md) - [Background: Unity](Background-U...
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# Training ML-Agents **Table of Contents** - [Training ML-Agents](#training-ml-agents) - [Training with mlagents-learn](#training-with-mlagents-learn) - [Starting Training](#starting-training) - [Observing Training](#observing-training) - [Stopping and Resuming Training](#stopping-and-resuming-train...
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<!-- HTML header for doxygen 1.8.14--> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> <meta http-equiv="X-UA-Compatible" cont...
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# @generated by generate_proto_mypy_stubs.py. Do not edit! import sys from google.protobuf.descriptor import ( Descriptor as google___protobuf___descriptor___Descriptor, ) from google.protobuf.internal.containers import ( RepeatedScalarFieldContainer as google___protobuf___internal___containers___RepeatedScal...
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# @generated by generate_proto_mypy_stubs.py. Do not edit! import sys from google.protobuf.descriptor import ( Descriptor as google___protobuf___descriptor___Descriptor, ) from google.protobuf.message import ( Message as google___protobuf___message___Message, ) from typing import ( Optional as typing___O...
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# @generated by generate_proto_mypy_stubs.py. Do not edit! import sys from google.protobuf.descriptor import ( Descriptor as google___protobuf___descriptor___Descriptor, ) from google.protobuf.message import ( Message as google___protobuf___message___Message, ) from mlagents_envs.communicator_objects.capabil...
ml-agents/ml-agents-envs/mlagents_envs/communicator_objects/unity_rl_initialization_input_pb2.pyi/0
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import itertools import numpy as np from typing import Any, Dict, List, Optional, Tuple, Union import gym from gym import error, spaces from mlagents_envs.base_env import ActionTuple, BaseEnv from mlagents_envs.base_env import DecisionSteps, TerminalSteps from mlagents_envs import logging_util class UnityGymExcept...
ml-agents/ml-agents-envs/mlagents_envs/envs/unity_gym_env.py/0
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from mlagents_envs.side_channel import SideChannel, IncomingMessage, OutgoingMessage from mlagents_envs.exception import UnityCommunicationException import uuid from enum import IntEnum from typing import List, Tuple class EnvironmentParametersChannel(SideChannel): """ This is the SideChannel for sending envi...
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from mlagents_envs.envs.unity_aec_env import UnityAECEnv from mlagents_envs.envs.unity_parallel_env import UnityParallelEnv from simple_test_envs import SimpleEnvironment, MultiAgentEnvironment from pettingzoo.test import api_test, parallel_api_test NUM_TEST_CYCLES = 100 def test_single_agent_aec(): unity_env = ...
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behaviors: 3DBall: trainer_type: a2c hyperparameters: batch_size: 1000 buffer_size: 1000 learning_rate: 0.0003 beta: 0.001 lambd: 0.99 num_epoch: 1 learning_rate_schedule: linear network_settings: normalize: true hidden_units: 128 num_layers: 2 ...
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