Reinforcement Learning
ml-agents
ONNX
ML-Agents-Pyramids
deep-reinforcement-learning
unity-ml-agents
Eval Results (legacy)
Instructions to use plpanjali05/MLAgents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use plpanjali05/MLAgents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="plpanjali05/MLAgents-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
PPO Agent playing Pyramids (Unity ML-Agents)
This is a trained model of an agent playing ML-Agents-Pyramids using the ml-agents library as part of the Hugging Face Deep Reinforcement Learning Course.
- Environment: ML-Agents-Pyramids
- Library: ml-agents
- Mean Reward: 1.85 +/- 0.20
- Student: plpanjali05
Usage
# To load this model, refer to the corresponding unit notebook in the Hugging Face Deep RL Course.
- Downloads last month
- 16
Evaluation results
- mean_reward on ML-Agents-Pyramidsself-reported1.85 +/- 0.20