Reinforcement Learning
ml-agents
deep-reinforcement-learning
deep-rl-course
Pyramids
Eval Results (legacy)
Instructions to use dhanushh011/Pyramids-unit5-course with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use dhanushh011/Pyramids-unit5-course with ml-agents:
mlagents-load-from-hf --repo-id="dhanushh011/Pyramids-unit5-course" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
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Download README.md from dhanushh011/Pyramids-unit5-course: direct link, hf CLI and curl.
- Browser
- Download file 430 Bytes
-
https://huggingface.co/dhanushh011/Pyramids-unit5-course/resolve/main/README.md
- Command line
-
hf download hf://dhanushh011/Pyramids-unit5-course/README.md
-
curl -L -o README.md https://huggingface.co/dhanushh011/Pyramids-unit5-course/resolve/main/README.md
430 Bytes
metadata
library_name: ml-agents
tags:
- deep-reinforcement-learning
- reinforcement-learning
- deep-rl-course
- Pyramids
model-index:
- name: Pyramids
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pyramids
type: Pyramids
metrics:
- type: mean_reward
value: '-50.0 +/- 1.00'
name: mean_reward