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refactoring training spc setup and benchmarking

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Daniel Rosel
2026-03-08 18:30:53 +01:00
parent 9fafb26ec8
commit 73246d7dd8
36 changed files with 2180 additions and 613 deletions
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engine/wrapper.py
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@@ -381,7 +381,7 @@ if __name__ == "__main__":
def predict(self, obs, **kwargs):
return self.env.action_space.sample(), None
wandb.init(project="phantom-pricing", config={"policy": "random", "alpha": 0.3})
wandb.init(project="capstone", config={"policy": "random", "alpha": 0.3})
env = EconomicMetricsWrapper(PHANTOM(n_products=15, alpha=0.3, render_mode=None))
model = RandomPolicy(env)