Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
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Updated
Apr 13, 2023 - Python
Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
A powerful Python library for operations research and optimization.
🐍 💼 A Pythonic approach to the Travelling Salesman Problem
C++ Simulation Revenue Management (RM) Open Library
RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms
Web based Ant Colony - ACO optimization algorithm, for computer science and operation research
Lecture notes in Operation Research and Management Science with Python. Website: https://naftalic.github.io/ORinPython
MaxCut SS
A mirror of IBM's DOCPLEX, a Python modelling package for operational research
A library for furnace charge optimization
Designated repo to explore, learn, execute and exercise Optimization application within the realm of Operation Research and Business Analytics
Real-world warehouse route optimizer — 4 thermal zones, OR-Tools TSP, cold chain constraints, wave picking & forklift system. Built with Python & Streamlit.
A complete beginner friendly study guide for operation research. It follows MAKAUT syllabus. Now start practicing to obtain good results.
My Assignments @ Athens University of Economics and Business
The following repository shows an implementation of the branch and bound optimization. The task was part of my studies and the module "Operations Research". In cooperation with https://github.com/richard-zi
Predicts what happens to passengers after their flight is cancelled, where they go, when they'll actually resolve, and what it costs the airport. Classification vs. a transparent benchmark, survival analysis for timing, and a Passenger Half-Life metric that shows which disrupted groups keep generating pressure for hours.
Web version of charge optimization app
Multi-echelon supply chain optimization system integrating stochastic demand forecasting, global inventory control, and distribution planning under uncertainty — applied AI and operations research across a 3-echelon, 9-node, 1,000-SKU network with real-time decision support.
A high-performance transaction processing engine featuring a Token Bucket Rate Limiter and ACID-compliant MySQL ledger to resolve high-concurrency bottlenecks in payment systems.
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