Instructions to use Subhash3008/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Subhash3008/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Subhash3008/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
|
Download README.md from Subhash3008/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 696 Bytes
-
https://huggingface.co/Subhash3008/a2c-PandaReachDense-v3/resolve/main/README.md
- Command line
-
hf download hf://Subhash3008/a2c-PandaReachDense-v3/README.md
-
curl -L -o README.md https://huggingface.co/Subhash3008/a2c-PandaReachDense-v3/resolve/main/README.md
696 Bytes
metadata
tags:
- reinforcement-learning
- PandaReachDense-v3
- stable-baselines3
- deep-rl-course
model-index:
- name: a2c-PandaReachDense-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReachDense-v3
metrics:
- type: mean_reward
value: '-0.3 +/- 0.05'
name: mean_reward
A2C PandaReachDense-v3
This is a trained model for the Hugging Face Deep Reinforcement Learning Course.
- Environment:
PandaReachDense-v3 - Library:
stable-baselines3 - Evaluation Score:
-0.3 +/- 0.05
Trained and submitted by Subhash3008.