The program includes a wide variety of exciting competitions in different domains, with some focusing more on applications and others trying to unify fields, focusing on technical challenges or directly tackling important problems in the world. The aim is for the broad program to make it so that anyone who wants to work on or learn from a competition can find something to their liking.
In this session, we have the following competitions:
* Learning By Doing: Controlling a Dynamical System using Control Theory, Reinforcement Learning, or Causality
* Reconnaissance Blind Chess
* Real Robot Challenge II
* The Billion-Scale Approximate Nearest Neighbor Search Challenge
* MetaDL: Few Shot Learning Competition with Novel Datasets from Practical Domains