Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
agricultural-ai
weather-modelling
curriculum-learning
edge-ai
Instructions to use DHDRL/monsoon-rl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DHDRL/monsoon-rl with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DHDRL/monsoon-rl", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Update weather_forecast_env.py
Browse files- weather_forecast_env.py +1 -1
weather_forecast_env.py
CHANGED
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@@ -785,4 +785,4 @@ def register_weather_environments() -> None:
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entry_point=lambda: make_weather_env(ForecastConfig()),
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max_episode_steps=None,
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)
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logger.info("Registered WeatherForecast-v1 with Gymnasium")
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entry_point=lambda: make_weather_env(ForecastConfig()),
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max_episode_steps=None,
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)
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+
logger.info("Registered WeatherForecast-v1 with Gymnasium")
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