Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use teilomillet/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use teilomillet/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="teilomillet/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 846d18f6a1fd44fb39da0a6c3b59ef55b32dff7f3ed05451a6de552b486ca43f
- Size of remote file:
- 2.39 kB
- SHA256:
- 79f92c11cdff664633bcb85aa0d323e529f95970fa2e57d5b2180f2be093a163
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