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
File size: 871 Bytes
05c9ac2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | using NUnit.Framework;
using UnityEngine;
using UnityEditor;
using Unity.MLAgents.Policies;
namespace Unity.MLAgents.Tests
{
[TestFixture]
public class TestSerialization
{
const string k_oldPrefabPath = "Packages/com.unity.ml-agents/Tests/Editor/TestModels/old_serialized_agent.prefab";
const int k_numVecObs = 212;
const int k_numContinuousActions = 39;
[Test]
public void TestDeserialization()
{
var prefab = AssetDatabase.LoadAssetAtPath<GameObject>(k_oldPrefabPath);
var agent = GameObject.Instantiate(prefab);
var bp = agent.GetComponent<BehaviorParameters>();
Assert.AreEqual(bp.BrainParameters.ActionSpec.NumContinuousActions, k_numContinuousActions);
Assert.AreEqual(bp.BrainParameters.VectorObservationSize, k_numVecObs);
}
}
}
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