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poca 智能体玩 SoccerTwos

这是一个经过训练的 poca 智能体模型，使用 Unity ML-Agents 库 来玩 SoccerTwos。

使用方法（配合 ML-Agents）

文档：https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/

我们编写了完整的教程，帮助你学习如何使用 ML-Agents 训练你的第一个智能体并将其发布到 Hub：

  • 一个简短教程，教你训练 Huggy 小狗 🐶 去捡棍子，然后直接在浏览器中与它玩耍：https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
  • 一个更长的教程，帮助你深入理解 ML-Agents 的工作原理：https://huggingface.co/learn/deep-rl-course/unit5/introduction

继续训练

mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume

观看你的智能体游戏

你可以直接在浏览器中观看你的智能体游戏

  1. 如果环境是 ML-Agents 官方环境的一部分，请访问 https://huggingface.co/unity
  2. 第一步：找到你的 model_id：anssio/poca-SoccerTwos
  3. 第二步：选择你的 .nn /.onnx 文件
  4. 点击"Watch the agent play"（观看智能体游戏）👀

anssio/poca-SoccerTwos

作者 anssio

reinforcement-learning ml-agents
↓ 1 ♥ 0

创建时间: 2025-03-29 17:40:47+00:00

更新时间: 2025-03-29 19:39:13+00:00

在 Hugging Face 上查看

文件 (48)

.gitattributes
README.md
SoccerTwos-113700.pt
SoccerTwos-87640.onnx ONNX
SoccerTwos-87640.pt
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-1003250.onnx ONNX
SoccerTwos/SoccerTwos-1003250.pt
SoccerTwos/SoccerTwos-213714.onnx ONNX
SoccerTwos/SoccerTwos-213714.pt
SoccerTwos/SoccerTwos-499528.onnx ONNX
SoccerTwos/SoccerTwos-499528.pt
SoccerTwos/SoccerTwos-499782.onnx ONNX
SoccerTwos/SoccerTwos-499782.pt
SoccerTwos/SoccerTwos-499864.onnx ONNX
SoccerTwos/SoccerTwos-499864.pt
SoccerTwos/SoccerTwos-631146.onnx ONNX
SoccerTwos/SoccerTwos-631146.pt
SoccerTwos/SoccerTwos-750270.onnx ONNX
SoccerTwos/SoccerTwos-750270.pt
SoccerTwos/SoccerTwos-939274.onnx ONNX
SoccerTwos/SoccerTwos-939274.pt
SoccerTwos/SoccerTwos-999850.onnx ONNX
SoccerTwos/SoccerTwos-999850.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1743275989.AI-PC.22688.0
checkpoint.pt
config.json
configuration.yaml
events.out.tfevents.1743269807.ACER11.57456.0
run_logs/Player-0.log
run_logs/Player-1.log
run_logs/Player-10.log
run_logs/Player-11.log
run_logs/Player-12.log
run_logs/Player-13.log
run_logs/Player-14.log
run_logs/Player-15.log
run_logs/Player-2.log
run_logs/Player-3.log
run_logs/Player-4.log
run_logs/Player-5.log
run_logs/Player-6.log
run_logs/Player-7.log
run_logs/Player-8.log
run_logs/Player-9.log
run_logs/timers.json
run_logs/training_status.json