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
| // <auto-generated> | |
| // Generated by the protocol buffer compiler. DO NOT EDIT! | |
| // source: mlagents_envs/communicator_objects/command.proto | |
| // </auto-generated> | |
| using pb = global::Google.Protobuf; | |
| using pbc = global::Google.Protobuf.Collections; | |
| using pbr = global::Google.Protobuf.Reflection; | |
| using scg = global::System.Collections.Generic; | |
| namespace Unity.MLAgents.CommunicatorObjects { | |
| /// <summary>Holder for reflection information generated from mlagents_envs/communicator_objects/command.proto</summary> | |
| internal static partial class CommandReflection { | |
| /// <summary>File descriptor for mlagents_envs/communicator_objects/command.proto</summary> | |
| public static pbr::FileDescriptor Descriptor { | |
| get { return descriptor; } | |
| } | |
| private static pbr::FileDescriptor descriptor; | |
| static CommandReflection() { | |
| byte[] descriptorData = global::System.Convert.FromBase64String( | |
| string.Concat( | |
| "CjBtbGFnZW50c19lbnZzL2NvbW11bmljYXRvcl9vYmplY3RzL2NvbW1hbmQu", | |
| "cHJvdG8SFGNvbW11bmljYXRvcl9vYmplY3RzKi0KDENvbW1hbmRQcm90bxII", | |
| "CgRTVEVQEAASCQoFUkVTRVQQARIICgRRVUlUEAJCJaoCIlVuaXR5Lk1MQWdl", | |
| "bnRzLkNvbW11bmljYXRvck9iamVjdHNiBnByb3RvMw==")); | |
| descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData, | |
| new pbr::FileDescriptor[] { }, | |
| new pbr::GeneratedClrTypeInfo(new[] {typeof(global::Unity.MLAgents.CommunicatorObjects.CommandProto), }, null)); | |
| } | |
| } | |
| internal enum CommandProto { | |
| [] Step = 0, | |
| [] Reset = 1, | |
| [] Quit = 2, | |
| } | |
| } | |