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说明文档
library_name: ml-agents tags:
- SoccerTwos
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
poca 智能体玩 SoccerTwos
这是一个经过训练的 poca 智能体，使用 Unity ML-Agents 库 玩 SoccerTwos 游戏。
使用方法（配合 ML-Agents）
文档地址：https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
我们编写了完整的教程，教你如何使用 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，教你让狗狗 Huggy 🐶 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
- 一个较长教程，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 <你的配置文件路径.yaml> --run-id=<运行ID> --resume
观看你的智能体玩游戏
你可以直接在浏览器中观看你的智能体玩游戏
- 如果环境属于 ML-Agents 官方环境，请访问 https://huggingface.co/unity
- 第一步：找到你的 model_id：Sam017/poca-SoccerTwos
- 第二步：选择你的 .nn /.onnx 文件
- 点击"观看智能体玩游戏" 👀
Sam017/poca-SoccerTwos
作者 Sam017
reinforcement-learning
ml-agents
↓ 0
♥ 0
创建时间: 2025-06-23 12:06:27+00:00
更新时间: 2025-06-23 12:26:31+00:00
在 Hugging Face 上查看文件 (32)
.gitattributes
README.md
SoccerTwos.onnx
ONNX
SoccerTwos/SoccerTwos-26499983.onnx
ONNX
SoccerTwos/SoccerTwos-26499983.pt
SoccerTwos/SoccerTwos-26999938.onnx
ONNX
SoccerTwos/SoccerTwos-26999938.pt
SoccerTwos/SoccerTwos-27499975.onnx
ONNX
SoccerTwos/SoccerTwos-27499975.pt
SoccerTwos/SoccerTwos-27999976.onnx
ONNX
SoccerTwos/SoccerTwos-27999976.pt
SoccerTwos/SoccerTwos-28241038.onnx
ONNX
SoccerTwos/SoccerTwos-28241038.pt
SoccerTwos/SoccerTwos-28499930.onnx
ONNX
SoccerTwos/SoccerTwos-28499930.pt
SoccerTwos/SoccerTwos-28999968.onnx
ONNX
SoccerTwos/SoccerTwos-28999968.pt
SoccerTwos/SoccerTwos-29499932.onnx
ONNX
SoccerTwos/SoccerTwos-29499932.pt
SoccerTwos/SoccerTwos-29999878.onnx
ONNX
SoccerTwos/SoccerTwos-29999878.pt
SoccerTwos/SoccerTwos-30000186.onnx
ONNX
SoccerTwos/SoccerTwos-30000186.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1750605487.DESKTOP-00POL2Q.31972.0
SoccerTwos/events.out.tfevents.1750664156.DESKTOP-00POL2Q.30368.0
SoccerTwos/events.out.tfevents.1750675985.DESKTOP-00POL2Q.14240.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json