Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Eval Results (legacy)
Instructions to use jos0054/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use jos0054/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="jos0054/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download results.json from jos0054/ppo-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 697 Bytes
-
https://huggingface.co/jos0054/ppo-Pyramids/resolve/main/results.json
- Command line
-
hf download hf://jos0054/ppo-Pyramids/results.json
-
curl -L -o results.json https://huggingface.co/jos0054/ppo-Pyramids/resolve/main/results.json
697 Bytes
| { | |
| "env_id": "ML-Agents-Pyramids", | |
| "mean_reward": 1.7673700160288717, | |
| "std_reward": 0.10852730290590747, | |
| "course_score": 1.6588427131229642, | |
| "n_evaluation_episodes": 20, | |
| "seed": 31415, | |
| "episode_returns": [ | |
| 1.9030000066850334, | |
| 1.899000006960705, | |
| 1.8820000081323087, | |
| 1.8570000098552555, | |
| 1.8290000117849559, | |
| 1.8090000131633133, | |
| 1.7960000140592456, | |
| 1.7810000150930136, | |
| 1.745000017574057, | |
| 1.8722000087727793, | |
| 1.7270000188145787, | |
| 1.7030000204686075, | |
| 1.6720000226050615, | |
| 1.6400000248104334, | |
| 1.8030000135768205, | |
| 1.715000019641593, | |
| 1.84500001068227, | |
| 1.5770000291522592, | |
| 1.8102000130456872, | |
| 1.482000035699457 | |
| ] | |
| } |