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
ppo-Pyramids-Training / com.unity.ml-agents /Tests /Editor /Communicator /UnityRLCapabilitiesTests.cs
| using System.Text.RegularExpressions; | |
| using NUnit.Framework; | |
| using UnityEngine; | |
| using UnityEngine.TestTools; | |
| namespace Unity.MLAgents.Tests.Communicator | |
| { | |
| [] | |
| public class UnityRLCapabilitiesTests | |
| { | |
| [] | |
| public void TestWarnOnPythonMissingBaseRLCapabilities() | |
| { | |
| var caps = new UnityRLCapabilities(); | |
| Assert.False(caps.WarnOnPythonMissingBaseRLCapabilities()); | |
| LogAssert.NoUnexpectedReceived(); | |
| caps = new UnityRLCapabilities(false); | |
| Assert.True(caps.WarnOnPythonMissingBaseRLCapabilities()); | |
| LogAssert.Expect(LogType.Warning, new Regex(".+")); | |
| } | |
| } | |
| } | |