Reinforcement Learning
ml-agents
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Eval Results (legacy)
Instructions to use Preethi0205/MLAgents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Preethi0205/MLAgents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Preethi0205/MLAgents-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids using the Unity ML-Agents Library for Unit 5 Part 2 of the Deep RL Course.
Evaluation Results
- Result: 2.10 +/- 0.40
- Threshold Required: >= -100
- Pass Status: Passed ✅
- Downloads last month
- 7
Evaluation results
- mean_reward on ML-Agents-Pyramidsself-reported2.10 +/- 0.40