Reinforcement Learning
ml-agents
ONNX
ML-Agents-Pyramids
unity-ml-agents
deep-rl-course
Eval Results (legacy)
Instructions to use rajurk11/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use rajurk11/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="rajurk11/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
File size: 571 Bytes
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tags:
- ML-Agents-Pyramids
- ml-agents
- reinforcement-learning
- unity-ml-agents
- deep-rl-course
model-index:
- name: ppo-Pyramids
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-Pyramids
type: ML-Agents-Pyramids
metrics:
- type: mean_reward
value: 18.50 +/- 1.50
name: mean_reward
---
# PPO Agent playing **ML-Agents-Pyramids**
This is a trained PPO model for **ML-Agents-Pyramids** trained as part of the Hugging Face Deep RL Course.
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