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Universe Starter Agent download for Windows

Free download Universe Starter Agent Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Universe Starter Agent whose latest release can be downloaded as universe-starter-agentsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Universe Starter Agent with OnWorks for free.

请按照以下说明运行此应用程序:

- 1. 在您的 PC 中下载此应用程序。

- 2. 在我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX 中输入您想要的用户名。

- 3. 在这样的文件管理器中上传这个应用程序。

- 4. 从本网站启动任何 OS OnWorks 在线模拟器,但更好的 Windows 在线模拟器。

- 5. 从您刚刚启动的 OnWorks Windows 操作系统,使用您想要的用户名转到我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX。

- 6. 下载应用程序并安装。

- 7. 从您的 Linux 发行版软件存储库下载 Wine。 安装后,您可以双击该应用程序以使用 Wine 运行它们。 您还可以尝试 PlayOnLinux,这是 Wine 上的一个花哨界面,可帮助您安装流行的 Windows 程序和游戏。

Wine 是一种在 Linux 上运行 Windows 软件的方法,但不需要 Windows。 Wine 是一个开源的 Windows 兼容层,可以直接在任何 Linux 桌面上运行 Windows 程序。 本质上,Wine 试图从头开始重新实现足够多的 Windows,以便它可以运行所有这些 Windows 应用程序,而实际上不需要 Windows。

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Universe Starter Agent


商品描述

The universe-starter-agent repository is an archived OpenAI codebase designed as a starter reinforcement-learning agent that can interact with and solve tasks in OpenAI’s Universe environment platform. Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements a version of the A3C (Asynchronous Advantage Actor-Critic) algorithm, adapted for the specific challenges of Universe environments (e.g., network latency, VNC streaming, asynchronous observations). The repo includes modules like train.py, worker.py, model.py, a3c.py, and envs.py to support training, parallel worker management, policy/critics, and environment wrappers.



功能

  • Asynchronous A3C implementation adapted for remote, visual (pixel-based) environments
  • Wrappers to interface with VNC, remote desktops, and Universe’s streaming interface
  • Support for multi-worker training with parameter server architecture
  • Environment abstraction via envs.py to manage different Universe tasks (Atari, Flash, etc.)
  • Configuration and monitoring via TensorBoard, tmux session orchestration for parallel processes
  • Instructions and example commands for training agents (e.g. on PongDeterministic-v3)


程式语言

Python


分类

人工智能特工

This is an application that can also be fetched from https://sourceforge.net/projects/universe-starter-agent.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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