Dmitrii Krasheninnikov

Dmitrii is a second-year masters student at the University of Amsterdam, where he studies artificial intelligence. At CHAI, Dmitrii investigates ways to combine misspecified and conflicting reward functions obtained via different specification processes (e.g. hand-specification and inverse reinforcement learning). This is Dmitrii’s third time working at CHAI. Previously he worked with Rohin Shah on an algorithm that can learn human preferences from the current state of the world, and studied properties of the maximum causal entropy inverse RL algorithm with Andrew Critch.

Before CHAI Dmitrii worked on stability of deep learning algorithms as an intern at a small startup in Finland, and designed efficient algorithms for processing next-generation sequencing data at the Bioinformatics Institute in Russia.

You can learn more about Dmitrii at his personal website.