Reinforcement Learning
ml-agents
ML-Agents-Pyramids
deep-rl-course
reinforcement-learning-leaderboard
Eval Results (legacy)
Instructions to use naimgerges/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use naimgerges/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="naimgerges/ppo-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
metadata
library_name: ml-agents
tags:
- ML-Agents-Pyramids
- deep-rl-course
- reinforcement-learning
- reinforcement-learning-leaderboard
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
name: mean_reward
ppo-Pyramids
Surgical fix for Unit 5.