Instructions to use Subhash3008/m-agents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Subhash3008/m-agents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Subhash3008/m-agents-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
File size: 667 Bytes
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tags:
- reinforcement-learning
- ML-Agents-Pyramids
- ml-agents
- deep-rl-course
model-index:
- name: m-agents-Pyramids
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-Pyramids
type: ML-Agents-Pyramids
metrics:
- type: mean_reward
value: 2.0 +/- 0.1
name: mean_reward
---
# ML-Agents Pyramids
This is a trained model for the **Hugging Face Deep Reinforcement Learning Course**.
- **Environment**: `ML-Agents-Pyramids`
- **Library**: `ml-agents`
- **Evaluation Score**: `2.0 +/- 0.1`
Trained and submitted by **Subhash3008**.
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