metadata
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
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: 25.34 +/- 1.97
name: mean_reward
ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget using the Unity ML-Agents Library (HF Deep RL Course Unit5).
Final training (run-id SnowballTarget5): Step 200000, Mean Reward 25.341, Std of Reward 1.965.
Usage
Download the .onnx file and use with the ML-Agents SnowballTarget demo, or watch it play at https://huggingface.co/spaces/ThomasSimonini/ML-Agents-SnowballTarget