I would like to know if there are more cases of reinforcement learning, such as the problem of scheduling, or other cases
Regarding the case of scheduling, I want to know the efficiency of several people will be the best and so on. How can I use reinforcement learning to achieve optimal scheduling.
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Hello @mark zhen ,
Reinforcement learning is a new feature to FlexSim, so there are only a few examples. In a GitHub repo we have one for change over time, but it is for a single operator. You would have to figure out how to do work for multiple. Reading our documentation will also help.
I now want to change the algorithm in the stable baseline, I have successfully changed ppo to a2c now I want to change it to dqn but it won't work
And I want to know how the reward funtion can be designed. Are there more examples for reference?
Hey @mark zhen, we don't have any more examples of reinforcement learning (RL) than what's on our documentation [and here]. You'll have to design your reward function according to your understanding of the problem you're trying to solve.
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