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Georgia Tech · Computational Science & Engineering

ImageImageSTACX Lab

Learning to model the world.
Building agents that can act in it.

We study agent AI through generative models, representation learning, and reinforcement learning. Our goal is to give agents the ability to make decisions and plan by modeling the world around them.

Led by Bo Dai at Georgia Tech, our research connects the foundations of learning with practical agent systems.

Explore our projects →Meet the people ↓

Research

From models to decisions

01

Generative models

Models of the world as a foundation for agents that can reason about what comes next.

02

Representation learning

Representations that make complex, stochastic environments tractable for learning and control.

03

Reinforcement learning

Learning to make decisions and plan, from algorithmic foundations to end-to-end agent systems.

People

Personnel

Bo Dai

Principal investigator

Bo Dai

Assistant Professor
School of Computational Science & Engineering, Georgia Tech

Also affiliated with Google DeepMind as a Senior Staff Research Scientist.

bodai@cc.gatech.edu

Current students

Former members

Personnel and affiliations from Bo Dai’s team page.