Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use AnnaMats/ppo-Pyramids-Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use AnnaMats/ppo-Pyramids-Training with ml-agents:
mlagents-load-from-hf --repo-id="AnnaMats/ppo-Pyramids-Training" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| using NUnit.Framework; | |
| using System; | |
| using System.Linq; | |
| using Unity.MLAgents.Actuators; | |
| using Unity.MLAgents.Policies; | |
| using UnityEngine; | |
| using Unity.MLAgents.Sensors; | |
| using Unity.MLAgents.Utils.Tests; | |
| namespace Unity.MLAgents.Tests | |
| { | |
| public class StackingSensorTests | |
| { | |
| [] | |
| public void SetUp() | |
| { | |
| if (Academy.IsInitialized) | |
| { | |
| Academy.Instance.Dispose(); | |
| } | |
| Academy.Instance.AutomaticSteppingEnabled = false; | |
| } | |
| [] | |
| public void TearDown() | |
| { | |
| CommunicatorFactory.ClearCreator(); | |
| } | |
| [] | |
| public void TestCtor() | |
| { | |
| ISensor wrapped = new VectorSensor(4); | |
| ISensor sensor = new StackingSensor(wrapped, 4); | |
| Assert.AreEqual("StackingSensor_size4_VectorSensor_size4", sensor.GetName()); | |
| Assert.AreEqual(sensor.GetObservationSpec().Shape, new InplaceArray<int>(16)); | |
| } | |
| [] | |
| public void AssertStackingReset() | |
| { | |
| var agentGo1 = new GameObject("TestAgent"); | |
| var bp1 = agentGo1.AddComponent<BehaviorParameters>(); | |
| bp1.BrainParameters.NumStackedVectorObservations = 3; | |
| bp1.BrainParameters.ActionSpec = ActionSpec.MakeContinuous(1); | |
| var aca = Academy.Instance; | |
| var agent1 = agentGo1.AddComponent<TestAgent>(); | |
| var policy = new TestPolicy(); | |
| agent1.SetPolicy(policy); | |
| StackingSensor sensor = null; | |
| foreach (ISensor s in agent1.sensors) | |
| { | |
| if (s is StackingSensor) | |
| { | |
| sensor = s as StackingSensor; | |
| } | |
| } | |
| Assert.NotNull(sensor); | |
| for (int i = 0; i < 20; i++) | |
| { | |
| agent1.RequestDecision(); | |
| aca.EnvironmentStep(); | |
| } | |
| SensorTestHelper.CompareObservation(sensor, new[] { 18f, 19f, 20f }); | |
| policy.OnRequestDecision = () => SensorTestHelper.CompareObservation(sensor, new[] { 19f, 20f, 21f }); | |
| agent1.EndEpisode(); | |
| policy.OnRequestDecision = () => { }; | |
| SensorTestHelper.CompareObservation(sensor, new[] { 0f, 0f, 0f }); | |
| for (int i = 0; i < 20; i++) | |
| { | |
| agent1.RequestDecision(); | |
| aca.EnvironmentStep(); | |
| SensorTestHelper.CompareObservation(sensor, new[] { Math.Max(0, i - 1f), i, i + 1 }); | |
| } | |
| } | |
| [] | |
| public void TestVectorStacking() | |
| { | |
| VectorSensor wrapped = new VectorSensor(2); | |
| StackingSensor sensor = new StackingSensor(wrapped, 3); | |
| wrapped.AddObservation(new[] { 1f, 2f }); | |
| SensorTestHelper.CompareObservation(sensor, new[] { 0f, 0f, 0f, 0f, 1f, 2f }); | |
| var data = sensor.GetStackedObservations(); | |
| Assert.IsTrue(data.ToArray().SequenceEqual(new[] { 0f, 0f, 0f, 0f, 1f, 2f })); | |
| sensor.Update(); | |
| wrapped.AddObservation(new[] { 3f, 4f }); | |
| SensorTestHelper.CompareObservation(sensor, new[] { 0f, 0f, 1f, 2f, 3f, 4f }); | |
| data = sensor.GetStackedObservations(); | |
| Assert.IsTrue(data.ToArray().SequenceEqual(new[] { 0f, 0f, 1f, 2f, 3f, 4f })); | |
| sensor.Update(); | |
| wrapped.AddObservation(new[] { 5f, 6f }); | |
| SensorTestHelper.CompareObservation(sensor, new[] { 1f, 2f, 3f, 4f, 5f, 6f }); | |
| data = sensor.GetStackedObservations(); | |
| Assert.IsTrue(data.ToArray().SequenceEqual(new[] { 1f, 2f, 3f, 4f, 5f, 6f })); | |
| sensor.Update(); | |
| wrapped.AddObservation(new[] { 7f, 8f }); | |
| SensorTestHelper.CompareObservation(sensor, new[] { 3f, 4f, 5f, 6f, 7f, 8f }); | |
| data = sensor.GetStackedObservations(); | |
| Assert.IsTrue(data.ToArray().SequenceEqual(new[] { 3f, 4f, 5f, 6f, 7f, 8f })); | |
| sensor.Update(); | |
| wrapped.AddObservation(new[] { 9f, 10f }); | |
| SensorTestHelper.CompareObservation(sensor, new[] { 5f, 6f, 7f, 8f, 9f, 10f }); | |
| data = sensor.GetStackedObservations(); | |
| Assert.IsTrue(data.ToArray().SequenceEqual(new[] { 5f, 6f, 7f, 8f, 9f, 10f })); | |
| // Check that if we don't call Update(), the same observations are produced | |
| SensorTestHelper.CompareObservation(sensor, new[] { 5f, 6f, 7f, 8f, 9f, 10f }); | |
| data = sensor.GetStackedObservations(); | |
| Assert.IsTrue(data.ToArray().SequenceEqual(new[] { 5f, 6f, 7f, 8f, 9f, 10f })); | |
| } | |
| [] | |
| public void TestVectorStackingReset() | |
| { | |
| VectorSensor wrapped = new VectorSensor(2); | |
| ISensor sensor = new StackingSensor(wrapped, 3); | |
| wrapped.AddObservation(new[] { 1f, 2f }); | |
| SensorTestHelper.CompareObservation(sensor, new[] { 0f, 0f, 0f, 0f, 1f, 2f }); | |
| sensor.Update(); | |
| wrapped.AddObservation(new[] { 3f, 4f }); | |
| SensorTestHelper.CompareObservation(sensor, new[] { 0f, 0f, 1f, 2f, 3f, 4f }); | |
| sensor.Reset(); | |
| wrapped.AddObservation(new[] { 5f, 6f }); | |
| SensorTestHelper.CompareObservation(sensor, new[] { 0f, 0f, 0f, 0f, 5f, 6f }); | |
| } | |
| class Dummy3DSensor : ISensor | |
| { | |
| public SensorCompressionType CompressionType = SensorCompressionType.PNG; | |
| public int[] Mapping; | |
| public ObservationSpec ObservationSpec; | |
| public float[,,] CurrentObservation; | |
| public ObservationSpec GetObservationSpec() | |
| { | |
| return ObservationSpec; | |
| } | |
| public int Write(ObservationWriter writer) | |
| { | |
| for (var h = 0; h < ObservationSpec.Shape[0]; h++) | |
| { | |
| for (var w = 0; w < ObservationSpec.Shape[1]; w++) | |
| { | |
| for (var c = 0; c < ObservationSpec.Shape[2]; c++) | |
| { | |
| writer[h, w, c] = CurrentObservation[h, w, c]; | |
| } | |
| } | |
| } | |
| return ObservationSpec.Shape[0] * ObservationSpec.Shape[1] * ObservationSpec.Shape[2]; | |
| } | |
| public byte[] GetCompressedObservation() | |
| { | |
| var writer = new ObservationWriter(); | |
| var flattenedObservation = new float[ObservationSpec.Shape[0] * ObservationSpec.Shape[1] * ObservationSpec.Shape[2]]; | |
| writer.SetTarget(flattenedObservation, ObservationSpec.Shape, 0); | |
| Write(writer); | |
| byte[] bytes = Array.ConvertAll(flattenedObservation, (z) => (byte)z); | |
| return bytes; | |
| } | |
| public void Update() { } | |
| public void Reset() { } | |
| public CompressionSpec GetCompressionSpec() | |
| { | |
| return new CompressionSpec(CompressionType, Mapping); | |
| } | |
| public string GetName() | |
| { | |
| return "Dummy"; | |
| } | |
| } | |
| [] | |
| public void TestStackingMapping() | |
| { | |
| // Test grayscale stacked mapping with CameraSensor | |
| var cameraSensor = new CameraSensor(new Camera(), 64, 64, | |
| true, "grayscaleCamera", SensorCompressionType.PNG); | |
| var stackedCameraSensor = new StackingSensor(cameraSensor, 2); | |
| Assert.AreEqual(stackedCameraSensor.GetCompressionSpec().CompressedChannelMapping, new[] { 0, 0, 0, 1, 1, 1 }); | |
| // Test RGB stacked mapping with RenderTextureSensor | |
| var renderTextureSensor = new RenderTextureSensor(new RenderTexture(24, 16, 0), | |
| false, "renderTexture", SensorCompressionType.PNG); | |
| var stackedRenderTextureSensor = new StackingSensor(renderTextureSensor, 2); | |
| Assert.AreEqual(stackedRenderTextureSensor.GetCompressionSpec().CompressedChannelMapping, new[] { 0, 1, 2, 3, 4, 5 }); | |
| // Test mapping with number of layers not being multiple of 3 | |
| var dummySensor = new Dummy3DSensor(); | |
| dummySensor.ObservationSpec = ObservationSpec.Visual(2, 2, 4); | |
| dummySensor.Mapping = new[] { 0, 1, 2, 3 }; | |
| var stackedDummySensor = new StackingSensor(dummySensor, 2); | |
| Assert.AreEqual(stackedDummySensor.GetCompressionSpec().CompressedChannelMapping, new[] { 0, 1, 2, 3, -1, -1, 4, 5, 6, 7, -1, -1 }); | |
| // Test mapping with dummy layers that should be dropped | |
| var paddedDummySensor = new Dummy3DSensor(); | |
| paddedDummySensor.ObservationSpec = ObservationSpec.Visual(2, 2, 4); | |
| paddedDummySensor.Mapping = new[] { 0, 1, 2, 3, -1, -1 }; | |
| var stackedPaddedDummySensor = new StackingSensor(paddedDummySensor, 2); | |
| Assert.AreEqual(stackedPaddedDummySensor.GetCompressionSpec().CompressedChannelMapping, new[] { 0, 1, 2, 3, -1, -1, 4, 5, 6, 7, -1, -1 }); | |
| } | |
| [] | |
| public void Test3DStacking() | |
| { | |
| var wrapped = new Dummy3DSensor(); | |
| wrapped.ObservationSpec = ObservationSpec.Visual(2, 1, 2); | |
| var sensor = new StackingSensor(wrapped, 2); | |
| // Check the stacking is on the last dimension | |
| wrapped.CurrentObservation = new[, ,] { { { 1f, 2f } }, { { 3f, 4f } } }; | |
| SensorTestHelper.CompareObservation(sensor, new[, ,] { { { 0f, 0f, 1f, 2f } }, { { 0f, 0f, 3f, 4f } } }); | |
| sensor.Update(); | |
| wrapped.CurrentObservation = new[, ,] { { { 5f, 6f } }, { { 7f, 8f } } }; | |
| SensorTestHelper.CompareObservation(sensor, new[, ,] { { { 1f, 2f, 5f, 6f } }, { { 3f, 4f, 7f, 8f } } }); | |
| sensor.Update(); | |
| wrapped.CurrentObservation = new[, ,] { { { 9f, 10f } }, { { 11f, 12f } } }; | |
| SensorTestHelper.CompareObservation(sensor, new[, ,] { { { 5f, 6f, 9f, 10f } }, { { 7f, 8f, 11f, 12f } } }); | |
| // Check that if we don't call Update(), the same observations are produced | |
| SensorTestHelper.CompareObservation(sensor, new[, ,] { { { 5f, 6f, 9f, 10f } }, { { 7f, 8f, 11f, 12f } } }); | |
| // Test reset | |
| sensor.Reset(); | |
| wrapped.CurrentObservation = new[, ,] { { { 13f, 14f } }, { { 15f, 16f } } }; | |
| SensorTestHelper.CompareObservation(sensor, new[, ,] { { { 0f, 0f, 13f, 14f } }, { { 0f, 0f, 15f, 16f } } }); | |
| } | |
| [] | |
| public void TestStackedGetCompressedObservation() | |
| { | |
| var wrapped = new Dummy3DSensor(); | |
| wrapped.ObservationSpec = ObservationSpec.Visual(1, 1, 3); | |
| var sensor = new StackingSensor(wrapped, 2); | |
| wrapped.CurrentObservation = new[, ,] { { { 1f, 2f, 3f } } }; | |
| var expected1 = sensor.CreateEmptyPNG(); | |
| expected1 = expected1.Concat(Array.ConvertAll(new[] { 1f, 2f, 3f }, (z) => (byte)z)).ToArray(); | |
| Assert.AreEqual(sensor.GetCompressedObservation(), expected1); | |
| sensor.Update(); | |
| wrapped.CurrentObservation = new[, ,] { { { 4f, 5f, 6f } } }; | |
| var expected2 = Array.ConvertAll(new[] { 1f, 2f, 3f, 4f, 5f, 6f }, (z) => (byte)z); | |
| Assert.AreEqual(sensor.GetCompressedObservation(), expected2); | |
| sensor.Update(); | |
| wrapped.CurrentObservation = new[, ,] { { { 7f, 8f, 9f } } }; | |
| var expected3 = Array.ConvertAll(new[] { 4f, 5f, 6f, 7f, 8f, 9f }, (z) => (byte)z); | |
| Assert.AreEqual(sensor.GetCompressedObservation(), expected3); | |
| // Test reset | |
| sensor.Reset(); | |
| wrapped.CurrentObservation = new[, ,] { { { 10f, 11f, 12f } } }; | |
| var expected4 = sensor.CreateEmptyPNG(); | |
| expected4 = expected4.Concat(Array.ConvertAll(new[] { 10f, 11f, 12f }, (z) => (byte)z)).ToArray(); | |
| Assert.AreEqual(sensor.GetCompressedObservation(), expected4); | |
| } | |
| [] | |
| public void TestStackingSensorBuiltInSensorType() | |
| { | |
| var dummySensor = new Dummy3DSensor(); | |
| dummySensor.ObservationSpec = ObservationSpec.Visual(2, 2, 4); | |
| dummySensor.Mapping = new[] { 0, 1, 2, 3 }; | |
| var stackedDummySensor = new StackingSensor(dummySensor, 2); | |
| Assert.AreEqual(stackedDummySensor.GetBuiltInSensorType(), BuiltInSensorType.Unknown); | |
| var vectorSensor = new VectorSensor(4); | |
| var stackedVectorSensor = new StackingSensor(vectorSensor, 4); | |
| Assert.AreEqual(stackedVectorSensor.GetBuiltInSensorType(), BuiltInSensorType.VectorSensor); | |
| } | |
| } | |
| } | |