Home

Jakub Grudzien Kuba

kuba at berkeley dot edu

Who I am

Yo! I’m Kuba – a second-year PhD student in Artificial Intelligence at BAIR, University of California at Berkeley. I have a privilege to be co-advised by professors Sergey Levine and Pieter Abbeel.

What I research

My work is on Reinforcement Learning. That is, I develop and study algorithms that reinforce desirable/optimal behavior of intelligent machines. Such algorithms generally make machines look at their, or humans’, actions and discern the good from the bad, and thus improve themselves.

Why

I want computers to give us solutions to problems that we want to solve but are not (fully) able to: design drugs, vaccines, remove hazard from transport, assure stability of the market. You know, stuff like that.

Bio

I was born and raised in Poland, Europe. I completed Matex – an educational program for unusually mathematically-gifted children.

I completed my BSc in Mathematics with Mathematical Computation at Imperial College London in the UK. Over there, I met Yaodong Yang with whom I was honored to conduct research on Game Theory and Multi-Agent Reinforcement Learning.

I received my MSc in Statistics from University Of Oxford where I had a unique privilege of working with Jakob Foerster with whom I worked on Reinforcement Learning and Meta-Learning. Thanks to him and his team, it was one of the best adventures of my life. Thank you guys.

In addition

I survived heart malfunction after birth thanks to a respirator purchased by Wielka Orkiestra Świątecznej Pomocy foundation. Thankful for what I have, I devoted a large portion of my youth to physical training. I completed an ultra-marathon, passionately lift weights and practice Calisthenics. In Oxford, I was a member of Effective Altruism Society. From 30th birthday onwards, I will devote at least 10% of my income to charities.

I am not talented. I don’t believe in talent. I believe in hard work. I believe we are all equal as humans, capable of anything we want in life. No, I am not talented. I am obsessed.

Connor McGregor

Have a look at