Is this branching behavior expected? #334
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rezabayani
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In the branching example, after a MIP model is defined, an environment is created, reset, and env.step(action) is used for branching until done. I set expert_probability to 1.00 so that all actions are stored as training data. Here is code output for a model:
"Episode 1, 15 samples collected so far"
When I examine the observation. I notice two things.
I appreciate any feedback.
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