Reinforcement Learning
ml-agents
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Eval Results (legacy)
Instructions to use NPC007/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use NPC007/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="NPC007/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
File size: 581 Bytes
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library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
model-index:
- name: PPO-SnowballTarget
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-SnowballTarget
type: ML-Agents-SnowballTarget
metrics:
- type: mean_reward
value: 55.00 +/- 4.20
name: mean_reward
---
# **PPO** Agent playing **SnowballTarget**
This is a trained model of a **PPO** agent playing **SnowballTarget** using Unity ML-Agents.
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