PPO-GNN framework for stochastic fuel delivery optimization. Achieves 1.9% optimality gap with 40× speedup vs exact solvers.
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Updated
Nov 6, 2025 - Python
PPO-GNN framework for stochastic fuel delivery optimization. Achieves 1.9% optimality gap with 40× speedup vs exact solvers.
some practise codes on machine learning and courses assignments
Application to train a CNN to classify flowers using pytorch and a pretrained model from torchvision and make predictions on new images.
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