Reinforcement Learning
ml-agents
TensorBoard
ONNX
deep-rl-class
mlagents
Pyramids
id: Pyramids_Success
Eval Results (legacy)
Instructions to use s1144662/ppo-Pyramids-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use s1144662/ppo-Pyramids-v0 with ml-agents:
mlagents-load-from-hf --repo-id="s1144662/ppo-Pyramids-v0" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
metadata
library_name: ml-agents
tags:
- deep-rl-class
- reinforcement-learning
- mlagents
- Pyramids
- 'id: Pyramids_Success'
model-index:
- name: Pyramids
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pyramids
type: Pyramids
metrics:
- type: mean_reward
value: 2
name: mean_reward
Pyramids Agent
This is a trained model of a Pyramids agent playing using ML-Agents.