A JuMP extension for Stochastic Dual Dynamic Programming
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Updated
Jan 6, 2026 - Julia
A JuMP extension for Stochastic Dual Dynamic Programming
simple but efficient kernel regression and anomaly detection algorithms
High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).
Python package for the simulation and estimation of a prototypical infinite-horizon dynamic discrete choice model based on Rust (1987)
EE6204 Systems Analysis
The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is fo…
Code for the paper "An iterative sample scenario approach for the dynamic dispatch waves problem."
Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences
R package for Discrete-Time Markov Decision Processes
Markov Chain overview and their implementations in Finance
A fast solver for Markov Decision Processes
Learn to get started using DISCOTRESS with these tutorials! Then apply to your own Markov chains in ecology 🦜🌴 economics 💸📈 biophysics 🧬🦠 and more!
Adaptive STEM learning system using Q-learning to personalize educational pathways. Integrated with Moodle via LTI 1.3. Achieves 22.5% score improvement and 51% reduction in weak skills through AI-driven recommendations and explainable decisions (SHAP).
A Yahtzee-solving python package and command line tool
Implementations of methods in book <Reinforcement Learning: an introduction> by Sutton Barto, using Python.
An Introductory ML Educational Program hosted by the UofT AI Society. Topics include, Data Manipulation, Classification & Regression, Neural Networks, Computer Vision (CNNs), Natural Language Processing (RNNs), Reinforcement Learning (RL), Markov Decision Process (MDP), Genetic Algorithms, Decision Trees, K-means Clustering, Minimax, Hidden Mark…
🧠 Code for our IEEE ITW 2024 paper: Learn to leverage Age of Information (AoI) for goal-oriented communication systems.
Python3 library for visualizing high dimensional data.
UAV swarm task description language with AI policies enhancement
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