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说明文档
library_name: ml-agents tags:
- SoccerTwos
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
poca 智能体游玩 SoccerTwos
这是一个经过训练的 poca 智能体,使用 Unity ML-Agents 库 游玩 SoccerTwos。
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,帮助你学习使用 ML-Agents 训练第一个智能体并发布到 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互动:https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
- 一个更详细的教程,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 <你的配置文件路径.yaml> --run-id=<运行id> --resume
观看你的智能体游玩
你可以直接在浏览器中观看你的智能体游玩
- 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:jensenwiedler/poca-SoccerTwos
- 第二步:选择你的 .nn /.onnx 文件
- 点击"观看智能体游玩"👀
jensenwiedler/poca-SoccerTwos
作者 jensenwiedler
reinforcement-learning
ml-agents
↓ 0
♥ 0
创建时间: 2025-01-19 00:46:42+00:00
更新时间: 2025-01-19 00:49:15+00:00
在 Hugging Face 上查看文件 (33)
.gitattributes
README.md
SoccerTwos.onnx
ONNX
SoccerTwos/SoccerTwos-10000084.onnx
ONNX
SoccerTwos/SoccerTwos-10000084.pt
SoccerTwos/SoccerTwos-5499985.onnx
ONNX
SoccerTwos/SoccerTwos-5499985.pt
SoccerTwos/SoccerTwos-5999958.onnx
ONNX
SoccerTwos/SoccerTwos-5999958.pt
SoccerTwos/SoccerTwos-6499992.onnx
ONNX
SoccerTwos/SoccerTwos-6499992.pt
SoccerTwos/SoccerTwos-6999988.onnx
ONNX
SoccerTwos/SoccerTwos-6999988.pt
SoccerTwos/SoccerTwos-7499754.onnx
ONNX
SoccerTwos/SoccerTwos-7499754.pt
SoccerTwos/SoccerTwos-7849739.pt
SoccerTwos/SoccerTwos-8499851.onnx
ONNX
SoccerTwos/SoccerTwos-8499851.pt
SoccerTwos/SoccerTwos-8999942.onnx
ONNX
SoccerTwos/SoccerTwos-8999942.pt
SoccerTwos/SoccerTwos-9499885.onnx
ONNX
SoccerTwos/SoccerTwos-9499885.pt
SoccerTwos/SoccerTwos-9999894.onnx
ONNX
SoccerTwos/SoccerTwos-9999894.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1737212476.LAPTOP-2ITVIE0J.4608.0
SoccerTwos/events.out.tfevents.1737237588.LAPTOP-2ITVIE0J.18204.0
SoccerTwos/events.out.tfevents.1737237783.LAPTOP-2ITVIE0J.22300.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json