Reinforcement Learning
stable-baselines3
Ant-v3
deep-reinforcement-learning
Ant-v4
Eval Results (legacy)
Instructions to use qgallouedec/a2c-Ant-v3-2969543226 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use qgallouedec/a2c-Ant-v3-2969543226 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="qgallouedec/a2c-Ant-v3-2969543226", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Add `agent.pt` and tag the environment
Browse filesThis commit adds a model that is compatible with the 🥇 [Open RL Leaderboard](https://huggingface.co/spaces/open-rl-leaderboard/leaderboard) 🥇.
README.md
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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model-index:
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- name: A2C
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results:
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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- Ant-v4
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model-index:
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- name: A2C
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results:
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agent.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:351a85da847fb77741485aa2fa746ff53e4c6e43831df99cfcecfbb10271bf41
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size 54794
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