Instructions to use mohanpoduri2005/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use mohanpoduri2005/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="mohanpoduri2005/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
Trained PPO Agent for ML-Agents-SnowballTarget
This model is a trained PPO agent submitted for Unit 5 P1 of the Hugging Face Deep Reinforcement Learning Course.
Model Details
- User: mohanpoduri2005
- Unit: Unit 5 P1
- Environment:
ML-Agents-SnowballTarget - Library:
ml-agents - Algorithm: PPO
- Evaluation Score:
15.0 +/- 2.0 - Min Passing Result Required:
-100
Usage
This repository contains the trained model weights and evaluation metadata ready to be benchmarked and evaluated on the Deep RL Course Leaderboard.
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Evaluation results
- mean_reward on ML-Agents-SnowballTargetself-reported15.0 +/- 2.0