Detecting Influencers in Very Large Social Networks of Games
SMMnet: A Temporal Dataset from Super Mario Maker
A chess engine that plays like you: your openings, your style, at a rating you choose. C++ engine + Python toolkit trained on your own games.
Code repository for the paper 'Towards Action Model Learning for Player Modeling' by Krishnan, Williams and Martens, published in the Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. Vol. 16. No. 1. 2020.
Longitudinal player-state modeling of disengagement and recovery in PowerWash Simulator gameplay telemetry.
Thesis project exploring an AI system that dynamically adapts game difficulty in real time by analyzing key player performance indicators (reaction times, accuracy, strategic choices). The system tailors the experience to each player's unique playstyle and counteracts it to encourage adaptation and skill evolution.
Predicting a chess player's Elo from a few Lichess games and building interpretable behavioral profiles, towards an adaptive chess engine (M1 MIND, Sorbonne Université)
The datasets, codes and results for the AIIDE21 accepted paper: "Optimizing Profit by Mitigating Recurrent Churn Labeling Issues: Analysis from the Game Domain".
Analyze and model player value & work-rate to support transfer decisions of football clubs.
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