metadata
tags:
- ml-agents
- ML-Agents-Pyramids
- reinforcement-learning
- unity-ml-agents
library_name: ml-agents
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: 2.0 +/- 0.1
name: mean_reward
verified: false
PPO Agent playing ML-Agents-Pyramids
This is a trained model of a PPO agent playing ML-Agents-Pyramids using Unity ML-Agents for Unit 5 of the Hugging Face Deep RL Course.
Evaluation Results
- Mean Reward: 2.0 +/- 0.1
- Score (Mean - Std): 1.9 (Requirement: >= -100.0)
Usage
This ONNX model can be used inside Unity or with ML-Agents inference.