YahtzeeRL
An agent that learns through self-play to make long-term decisions in a dice game with explicit chance nodes.
81.1% win rate against a heuristic baseline over 512 games
JAX · Flax · RLax · MCTS · self-play
GitHub →A short selection of technical projects. The repositories carry the details.
An agent that learns through self-play to make long-term decisions in a dice game with explicit chance nodes.
81.1% win rate against a heuristic baseline over 512 games
JAX · Flax · RLax · MCTS · self-play
GitHub →Multi-horizon solar irradiance forecasting across short and long time ranges, evaluated against seasonal and persistence baselines.
GRU reduced RMSE by about 34% at 4h and 21% at 24h against the strongest naive baseline
GRU · LSTM · time series · baselines
GitHub →Detection of rare fraud cases in highly imbalanced credit-card transactions, with deliberate precision-recall tradeoffs.
Precision 0.95 · Recall 0.87
XGBoost · imbalanced classification · evaluation
GitHub →Prediction of customers at risk of churning through model comparison and a classification pipeline served as an API.
Recall 0.711 · ROC AUC 0.842
scikit-learn · XGBoost · FastAPI
GitHub →