A two‑column, research‑style overview that summarizes and links to our whitepaper.
Exploring how believable, human-like behavior emerges from systems that remain ultimately artificial.
A novel recurrent architecture that attains significant computational depth while maintaining training stability and efficiency for complex reasoning tasks.
Computational software agents that simulate believable human behavior through memory, reflection, and planning architectures.
An open-source toolkit designed to accelerate the creation of innovative reinforcement learning environments using Unity engine.
