Learning in Noisy MDP (which is governed by stochastic, exogenous input processes) with input-dependent baseline

⚙️ Effortless and efficient task scheduling tailored for production, built with numpy.

Python Standard Library eXtension

Job scheduling using 1D bin-packing algorithm

A simple job scheduling tool to manage tasks and GPUs in a single machine with multiple GPUs.

This Python script uses Evolution Strategy (ES) to minimize maximum lateness on a single machine (1||Lmax).

Applying Dynamic Programming for Job Scheduling Problem

Implementation of dynamic programming for solving a job scheduling problem where jobs are deterministic but machines are able to transition from manufacturing one type of product to another, at the expense of some downtime.