Comments (2)
Any updates on this? Or solutions? I am also having some issues with different algorithms and hyper-parameters and experiencing similar behavior.
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The documentation has a section showing how to use a custom reward function, https://github.com/jxx123/simglucose#openai-gym-usage, which serves exactly your purpose of tuning the reward function.
The default reward function is not intended to give you a nice reward (especially long-term reward), and you are supposed to define your own reward function.
But for the prosperity, it will be nice if anyone could share their insights and their carefully designed reward functions here. I could collect them and put them in the documentation for visibility (of course show your name to give you the credit).
from simglucose.
Related Issues (20)
- 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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