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poca 智能体正在玩 SoccerTwos

这是一个使用 Unity ML-Agents Library 训练的 poca 智能体玩 SoccerTwos 的模型。

使用方法（配合 ML-Agents）

文档：https://github.com/huggingface/ml-agents#get-started 我们编写了一份完整的教程，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：

继续训练

mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_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：

  1. 访问 https://huggingface.co/spaces/unity/ML-Agents-SoccerTwos
  2. 第一步：填写你的 model_id：dfm794/poca-SoccerTwos-2x-09-3-6-6-1-l-200-ft
  3. 第二步：选择你的 .nn /.onnx 文件
  4. 点击 Watch the agent play 👀

dfm794/poca-SoccerTwos-2x-09-3-6-6-1-l-200-ft

作者 dfm794

reinforcement-learning ml-agents
↓ 1 ♥ 0

创建时间: 2023-03-08 05:22:13+00:00

更新时间: 2023-03-08 05:22:21+00:00

在 Hugging Face 上查看

文件 (55)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-198499756.onnx ONNX
SoccerTwos/SoccerTwos-198499756.pt
SoccerTwos/SoccerTwos-198499842.onnx ONNX
SoccerTwos/SoccerTwos-198499842.pt
SoccerTwos/SoccerTwos-198499937.onnx ONNX
SoccerTwos/SoccerTwos-198499937.pt
SoccerTwos/SoccerTwos-198999935.onnx ONNX
SoccerTwos/SoccerTwos-198999935.pt
SoccerTwos/SoccerTwos-198999993.onnx ONNX
SoccerTwos/SoccerTwos-198999993.pt
SoccerTwos/SoccerTwos-198999996.onnx ONNX
SoccerTwos/SoccerTwos-198999996.pt
SoccerTwos/SoccerTwos-199499822.onnx ONNX
SoccerTwos/SoccerTwos-199499822.pt
SoccerTwos/SoccerTwos-199499947.onnx ONNX
SoccerTwos/SoccerTwos-199499947.pt
SoccerTwos/SoccerTwos-199499964.onnx ONNX
SoccerTwos/SoccerTwos-199499964.pt
SoccerTwos/SoccerTwos-199999878.onnx ONNX
SoccerTwos/SoccerTwos-199999878.pt
SoccerTwos/SoccerTwos-199999920.onnx ONNX
SoccerTwos/SoccerTwos-199999920.pt
SoccerTwos/SoccerTwos-199999989.onnx ONNX
SoccerTwos/SoccerTwos-199999989.pt
SoccerTwos/SoccerTwos-200000016.onnx ONNX
SoccerTwos/SoccerTwos-200000016.pt
SoccerTwos/SoccerTwos-200000168.onnx ONNX
SoccerTwos/SoccerTwos-200000168.pt
SoccerTwos/SoccerTwos-200000188.onnx ONNX
SoccerTwos/SoccerTwos-200000188.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1678044038.wolpert-type1.3812477.0
config.json
configuration.yaml
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