Personal experiments on Reinforcement Learning
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Updated
Apr 29, 2021 - Jupyter Notebook
Personal experiments on Reinforcement Learning
A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.
A dynamic Python-based routing and package management system for optimizing delivery schedules and operations. Designed for WGUPS, it showcases efficient use of algorithms and data structures for real-world logistics solutions.
🚚 "2021 Huawei Delivery Optimization Competition" - Using a genetic model to minimize the multi-vehicle transportation cost with vehicle capacity constraints.
🚚 A genetic model written in Python for minimizing the delay time of delivery routes.
A Python-based delivery optimization model using nearest neighbor heuristics for order grouping and route efficiency, with included CSV datasets and test results.
`ExternalIpAnalyzer.ps1` is a PowerShell script that processes ETL (Event Trace Log) files generated by Windows Delivery Optimization to extract external IP addresses and output them into a CSV file.
A delivery optimization project using causal inference and logistic optimization
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