OpenViSTAI · Agents · Blockchain · Crypto
Menu
AI Developer Tools & SDKs

Machin

Machin is an open-source Python framework built on PyTorch for implementing reinforcement-learning agents, with algorithms for single-agent, multi-agent, imitation-learning and parallel-training workflows.

Independent OpenViST project profile, based on linked sources.

Machin — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Machin when a Python and PyTorch project needs reusable reinforcement-learning implementations, including options for multi-agent or parallel training.

Who it is for

  • Python developers building reinforcement-learning agents with PyTorch.
  • Researchers comparing implemented reinforcement-learning algorithms.
  • Developers adapting supported algorithms to custom models or environments.

Documented uses

  • Implement agents using algorithms such as DQN, PPO, SAC or MADDPG.
  • Compare reinforcement-learning approaches in experiments.
  • Use parallel-training implementations such as A3C, APEX and IMPALA.
  • Adapt algorithms to custom models, including recurrent networks.
Before you choose

Requirements & limits

  • Installation requires Python 3.6 or later and PyTorch 1.6.0 or later.
  • Machin is available through pip and is licensed under MIT.
  • The README identifies Linux and Windows, while warning that some functions—mainly distributed algorithms—have limited support on platforms other than Linux.
  • Some setups may require additional libraries, with Graphviz given as an example.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Machin in a Python environment

Install the Machin library using the package manager and prerequisites stated in the project README.

Before you start

  • Python 3.6 or later
  • PyTorch 1.6.0 or later
  • pip

Steps

  1. Optionally create and activate a conda environment with pip.

  2. Run the command below.

    Documented command
    pip install machin

Expected outcome

The Machin library is installed through PyPI in the active Python environment.

Guide limitations

  • Some functions, mainly distributed algorithms, have limited support on platforms other than Linux.
  • Some errors may result from missing library setup; the README names Graphviz as an example.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
iffiX/machin · Official homepage title · retained in its source language