Instructions to use Gautam-05/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Gautam-05/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Gautam-05/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3 using the stable-baselines3 library. This model was trained for Unit 6 of the Deep Reinforcement Learning Course.
Usage
Trained Actor-Critic (A2C) agent on PandaReachDense-v3 for Unit 6 of the Deep RL Course.
Evaluation Results
- Mean Reward: -0.35 +/- 0.08
- Environment: PandaReachDense-v3
- Algorithm: A2C
- Downloads last month
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Evaluation results
- mean_reward on PandaReachDense-v3self-reported-0.35 +/- 0.08