4 papers
Quantifying the effect of representations on task complexity
Julian Zilly, Lorenz Hetzel, Andrea Censi +1
We examine the influence of input data representations on learning complexity. For learning, we posit that each model implicitly uses a candidate model distribution for unexplained…
Today Me, Tomorrow Thee: Efficient Resource Allocation in Competitive Settings using Karma Games
Andrea Censi, Saverio Bolognani, Julian G. Zilly +2
We present a new type of coordination mechanism among multiple agents for the allocation of a finite resource, such as the allocation of time slots for passing an intersection. We…
The AI Driving Olympics at NeurIPS 2018
Julian Zilly, Jacopo Tani, Breandan Considine +14
Despite recent breakthroughs, the ability of deep learning and reinforcement learning to outperform traditional approaches to control physically embodied robotic agents remains lar…
Inspiring Computer Vision System Solutions
Julian Zilly, Amit Boyarski, Micael Carvalho +8
The "digital Michelangelo project" was a seminal computer vision project in the early 2000's that pushed the capabilities of acquisition systems and involved multiple people from d…