Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
fluidgym
active-flow-control
fluid-dynamics
simulation
RBC2D-medium-v0
Eval Results (legacy)
Instructions to use safe-autonomous-systems/ppo-RBC2D-medium-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use safe-autonomous-systems/ppo-RBC2D-medium-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="safe-autonomous-systems/ppo-RBC2D-medium-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Upload results for PPO on RBC2D-medium-v0.
Browse files- README.md +2 -2
- replay.mp4 +0 -0
README.md
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name: mean_reward
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---
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# PPO on RBC2D-medium-v0 (FluidGym)
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- type: mean_reward
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value: 0.14
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name: mean_reward
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predict_config:
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preview_file: replay.mp4
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# PPO on RBC2D-medium-v0 (FluidGym)
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replay.mp4
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