Projects

Iterative Prisoner's Dilemma and Evolutionary Game Theory

Iterative Prisoner's Dilemma and Evolutionary Game Theory

October 10, 2022

Research paper published in International Journal of Mathematical Models and Methods in Applied Sciences. Applied game theory to analyze optimal negotiation strategies for nuclear power plant siting in South Korea, using a tournament of 36 iterated prisoner's dilemma strategies to identify stable and high-return negotiation approaches.

LSTM Reinforcement Learning in Code Debugging

LSTM Reinforcement Learning in Code Debugging

April 10, 2022

Research paper published in IJournals: International Journal of Software & Hardware Research in Engineering (IJSHRE). Created a machine learning model using LSTM neural networks to automatically repair code errors made by novice programmers, achieving 43% overall accuracy and up to 78% accuracy for specific error types.