Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Eval Results (legacy)
Instructions to use keerthinakka/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use keerthinakka/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="keerthinakka/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
File size: 612 Bytes
fcda20d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
- ml-agents
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-Pyramids
type: ML-Agents-Pyramids
metrics:
- type: mean_reward
value: '1.85 +/- 0.05'
name: mean_reward
---
# PPO Agent playing ML-Agents Pyramids
This is a trained PPO model playing **Pyramids** using Unity ML-Agents.
Trained by keeerthinakka for the Hugging Face Deep Reinforcement Learning Course. |