Reinforcement Learning
stable-baselines3
soft-actor-critic
sac
robotics
continuous-control
gymnasium
mujoco
reacher-v5
Instructions to use M-Stasiak/sac-reacher-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use M-Stasiak/sac-reacher-v5 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="M-Stasiak/sac-reacher-v5", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Upload trained SAC model
Browse files- requirements.txt +2 -0
- sac_reacher_final.zip +3 -0
requirements.txt
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gymnasium[mujoco]==1.2.3
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stable_baselines3==2.8.0
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sac_reacher_final.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:71c1634f3843f98a16e8131bce2b64f6973e0a82987d182bbde9fd3195f34c52
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size 6012114
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