Reinforcement Learning
ml-agents
ONNX
deep-reinforcement-learning
SnowballTarget
ML-Agents-SnowballTarget
Eval Results (legacy)
Instructions to use rondahahda/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use rondahahda/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="rondahahda/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download evaluation.json from rondahahda/ppo-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 464 Bytes
-
https://huggingface.co/rondahahda/ppo-SnowballTarget/resolve/main/evaluation.json
- Command line
-
hf download hf://rondahahda/ppo-SnowballTarget/evaluation.json
-
curl -L -o evaluation.json https://huggingface.co/rondahahda/ppo-SnowballTarget/resolve/main/evaluation.json
464 Bytes
| { | |
| "environment": "SnowballTarget", | |
| "episodes": 20, | |
| "mean_reward": 24.75, | |
| "std_reward": 2.384848003542364, | |
| "episode_rewards": [ | |
| 17.0, | |
| 26.0, | |
| 22.0, | |
| 26.0, | |
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| 25.0, | |
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| 28.0, | |
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| 26.0, | |
| 25.0, | |
| 26.0 | |
| ], | |
| "model_file": "/content/course-models/ppo-SnowballTarget/SnowballTarget.onnx", | |
| "seed": 12345, | |
| "deterministic": true | |
| } |