Comments (4)
yihyap
commented on June 5, 2024
1
This is a valid point to support the use of battery storage environment for other training purpose. Agree to have this.
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yihyap
commented on June 5, 2024
Given that the environment source can be imported directly here in the notebook, do we need to perform this extra step to install a gym environment separately?
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verdimrc
commented on June 5, 2024
How about for those users who want to use this environment not from a notebook file?
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verdimrc
commented on June 5, 2024
Close after merge
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Related Issues (19)
- Data download process clarification HOT 2
- Refactor src/share to src/energy_storage_system
- pip package to cover gym environment setup HOT 1
- Duplicate file: `battery_env_sm.py` HOT 2
- Do not use Python's `site-packages` as default sample data. HOT 3
- Why SageMaker train entrypoint sets use PyTorch = True? HOT 1
- Example how to run Streamlit demo HOT 2
- Fix bug in notebook HOT 1
- Cleanup unused file in smnb_utils HOT 1
- Support full year data for reproducibility
- Streamlit shows three charts briefly, then always two charts
- Document how to run Streamlit demo
- Document how to run Streamlit on SageMaker notebook instance
- Migrate streamlit demo code here HOT 1
- Train using custom container with SageMaker RL HOT 4
- Deploy trained agent endpoint using any existing framework
- Example on using hyper-parameter tuning
- Refactor SageMaker RL common files
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