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: 1,485 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 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | using System;
namespace Unity.MLAgents.SideChannels
{
/// <summary>
/// A Side Channel for sending <see cref="StatsRecorder"/> data.
/// </summary>
internal class StatsSideChannel : SideChannel
{
const string k_StatsSideChannelDefaultId = "a1d8f7b7-cec8-50f9-b78b-d3e165a78520";
/// <summary>
/// Initializes the side channel. The constructor is internal because only one instance is
/// supported at a time.
/// </summary>
internal StatsSideChannel()
{
ChannelId = new Guid(k_StatsSideChannelDefaultId);
}
/// <summary>
/// Add a stat value for reporting.
/// </summary>
/// <param name="key">The stat name.</param>
/// <param name="value">The stat value.</param>
/// <param name="aggregationMethod">How multiple values should be treated.</param>
public void AddStat(string key, float value, StatAggregationMethod aggregationMethod)
{
using (var msg = new OutgoingMessage())
{
msg.WriteString(key);
msg.WriteFloat32(value);
msg.WriteInt32((int)aggregationMethod);
QueueMessageToSend(msg);
}
}
/// <inheritdoc/>
protected override void OnMessageReceived(IncomingMessage msg)
{
throw new UnityAgentsException("StatsSideChannel should never receive messages.");
}
}
}
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