I build software around reinforcement learning, simulations, complex systems, and problems I personally want solved.
I'm a Politics & Philosophy student interested in the intersection of AI, economics, institutions, and human behaviour. Most of my work is experimental: I like building systems, observing what emerges, and documenting the process.
Currently focused on PolyVision and Econ-Engine.
A reinforcement-learning research environment for The Battle of Polytopia.
- PPO agents trained through Gymnasium and PyTorch
- 5,517 genuine Polytopia maps
- 63,913 globally stable action IDs with legality masking
- Reproducible validation, baselines, human benchmarking, and experiment tracking
- Java game engine connected to Python through Py4J
The current research task focuses on early-game economic decision-making before progressively expanding toward the full game.
A deterministic browser-based agent economic simulation for experimenting with markets, firms, households, inequality, competition, taxation, and government policy.
The project is developed incrementally, with each MVP adding another economic mechanism while preserving inspectability and reproducibility.
An evidence-aware lifting tracker built around how I actually train.
It combines workout logging with exercise biomechanics, muscle modelling, equipment tracking, estimated strength progression, body-weight data, and an accompanying scientific literature layer.
An experimental artificial-life simulation exploring emergent behaviour in populations of autonomous agents.
A personal productivity system built specifically around my own work, projects, writing, and routines.
reinforcement learning · game AI · agent-based modelling · economics · complex systems · artificial life · AI-assisted software development
I am particularly interested in projects where relatively simple rules produce behaviour that is difficult to predict in advance.
Website: lorenzoroque.com
I also write about AI, technology, politics, philosophy, and the things I'm building.