Closed nnhhoang closed 11 months ago
Hello @nnhhoang, could you please explain in more detail about "multi-objective optimization using RL"?
I want to solve the binary integer programming and use RL to solve but it really hard for me because it have multiple constraints and objective so i want to ask how to apply your paper to solve it ( my problem is task assign )
A high-level overview of our paper is that we train an RL agent to learn a probability distribution over which person can be assigned to which task. We then use this probability distribution as input to a different IP which maximises an objective function similar to the original one. I am guessing it should be possible for you to use this in your work. Could you give more details about what the constraints and objective functions look like?
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Hello, I'm wondering that Can your research can solve the multi objective optimization using RL to solve problem modeling as Binary Integer Programming ?