Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Developer-Karthi/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Developer-Karthi/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Developer-Karthi/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cc763480dee0b2e11a621c603237484ab42602596ab6a0fe23bc93b1f3d0c33
- Size of remote file:
- 108 kB
- SHA256:
- 2eed68bb993f23174add4a4986f777b926e2ad23b5b1b7baf934ddf2074a9151
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