Reinforcement Learning
ml-agents
TensorBoard
ONNX
ML-Agents-SnowballTarget
SnowballTarget
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use chaitu9182/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use chaitu9182/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="chaitu9182/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
|
Download README.md from chaitu9182/ppo-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 866 Bytes
-
https://huggingface.co/chaitu9182/ppo-SnowballTarget/resolve/main/README.md
- Command line
-
hf download hf://chaitu9182/ppo-SnowballTarget/README.md
-
curl -L -o README.md https://huggingface.co/chaitu9182/ppo-SnowballTarget/resolve/main/README.md
866 Bytes
metadata
library_name: ml-agents
tags:
- ML-Agents-SnowballTarget
- SnowballTarget
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
model-index:
- name: ppo-SnowballTarget
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-SnowballTarget
type: ML-Agents-SnowballTarget
metrics:
- type: mean_reward
value: 100.00 +/- 0.00
name: mean_reward
verified: false
ppo-SnowballTarget
This is a trained model of a ppo-SnowballTarget agent playing ML-Agents-SnowballTarget using the Hugging Face Deep RL Course.
Model Details
- User: chaitu9182
- Environment: ML-Agents-SnowballTarget
- Library: ml-agents
- Evaluation Score: 100.00 +/- 0.00