Joel Veness

Research Scientist, Google DeepMind


Broadly speaking, I am interested in the algorithmic and computational aspects of Artificial Intelligence, with a particular emphasis on scalable and efficient approaches for online Reinforcement Learning agents.

Reinforcement Learning / Universal AI

I regret nothing!

Consider an agent let loose in an unknown world with only a crude reward signal and limited sensor information as feedback. An agent that can be expected to accumulate a lot of reward in many different worlds can be viewed as being generally intelligent. How might we go about designing such an agent?



Universal Artificial Intelligence

Reinforcement Learning

Data Compression

Game Tree Search

Machine Learning for Games