Comments (1)
jxx123
commented on May 29, 2024
Hi harispolijo,
Thanks for your comment. Can you give me more details on why you need the delta BG in the observation? I believe the delta BG values can be computed inside of the controller policy. You should be able to cache the historical BG values as states in the controller, and compute the delta BG in the policy. Adding delta BG into the observation will increase the observation space, which might not always be a desired feature in general reinforcement learning algorithm development. I prefer to leave the flexibility to the users. Let me know what you think.
Jinyu
from simglucose.
Related Issues (20)
- The reward function encourages short episodes HOT 2
- Units in the Meal Absoption Model HOT 6
- Report function does not work HOT 2
- Controller is not reset during simulation of patients HOT 5
- Scenario with no meal in gym env HOT 2
- How to correctly implement the use of OpenAI Gym - reset() and step() methods are not implemented (NotImplementedError on google Colab)
- Dbar Modification HOT 3
- whether there is paper related to this project or not?
- Input meal size given in (g/min) instead of expected (g)
- Import Error
- Risk index calculation error in report generation
- Risk Index probably incorrect HOT 3
- Does this simulator has the property of time-delay? HOT 1
- Insulin unit error and scenario setting error HOT 3
- pip 0.2.8 broken HOT 2
- Patient interface missing observation, state and t HOT 2
- Clarity on calculation of parameters apha and beta HOT 2
- Patient Parameter Documentation
- Sensor sample_time affects reported CHO and Insulin
- Deprecated distutils in Python v3.12 causes "no module..." exception
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