metadata
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
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: 0 +/- 0
name: mean_reward
PPO Agent playing Pyramids
This is a trained model of a PPO agent playing Pyramids using the Unity ML-Agents Library.
This model was trained as part of the Hugging Face Deep Reinforcement Learning Course, Unit 5.
Environment
ML-Agents-Pyramids
Algorithm
Proximal Policy Optimization (PPO)
Library
Unity ML-Agents
Model
The trained agent is provided as an ONNX model.