Reinforcement Learning
ml-agents
ONNX
ML-Agents-SnowballTarget
ppo
deep-rl-course
Eval Results (legacy)
Instructions to use rohit0128/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use rohit0128/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="rohit0128/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
ppo-SnowballTarget
This is a trained model of a PPO agent playing ML-Agents-SnowballTarget. This model was trained as part of the Hugging Face Deep Reinforcement Learning Course.
Evaluation Results
- Environment:
ML-Agents-SnowballTarget - Algorithm:
PPO - Library:
ml-agents - Mean Reward:
15.00 +/- 1.00
Usage
To evaluate this model locally or play with it, download the model files from this repository.
- Downloads last month
- 5
Evaluation results
- mean_reward on ML-Agents-SnowballTargetself-reported15.00 +/- 1.00