metadata
tags:
- ML-Agents-Pyramids
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- ml-agents
library_name: 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: -100
name: mean_reward
verified: false
PPO Agent playing ML-Agents-Pyramids
This is a trained PPO agent playing the ML-Agents-Pyramids environment using Unity ML-Agents.
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)
Training
The model was trained using Unity ML-Agents and exported to ONNX format.