Erdem Bıyık bio photo

Erdem Bıyık

I am a PhD candidate at Stanford University, doing research on artificial intelligence (AI) applications. Specifically, I am interested in safe and active learning for robotics, AI and optimization for autonomous driving and traffic management.

Twitter   Google Scholar LinkedIn Github

Blog

Below is a list of posts that I was involved in or published at various blogs:



April 28, 2019, in Crossing Paths (Kesişen Yollar Derneği)
(Turkish) Stanford doktora adayı, Erdem Bıyık ile Röportaj
A Turkish interview that I gave about what I did in my undergrad, what my research is about, what PhD applications are like, etc.

December 10, 2018, in The Stanford AI Lab Blog
Batch-Active Preference-Based Learning of Reward Functions
Efficient reward learning is hard. With a focus on preference-based learning methods, we show how sample-efficiency can be achieved along with computational efficiency by using batch-active methods.

November 26, 2018, in The Stanford AI Lab Blog
Altruistic Autonomy: Beating Congestion on Shared Roads
Have you ever felt you are losing too much time in traffic? Have you ever asked why all the cars on the roads can’t just all go with some constant speed? Most drivers have had such thoughts.