219 citations · 513 across the 53 of their papers we have counts for
6 papers · 1 filter
Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing
Hangjin Liu, You, Zhou +2
Nonlinear function estimation is core to modern machine learning applications. In this paper, to perform nonlinear function estimation, we reduce a nonlinear inverse problem to a l…
Mismatched Guesswork
Salman Salamatian, Litian Liu, Ahmad Beirami +1
We study the problem of mismatched guesswork, where we evaluate the number of symbols which have higher likelihood than according to a mismatched dis…
On Multi-Agent Learning in Team Sports Games
Yunqi Zhao, Igor Borovikov, Jason Rupert +2
In recent years, reinforcement learning has been successful in solving video games from Atari to Star Craft II. However, the end-to-end model-free reinforcement learning (RL) is no…
Towards Interactive Training of Non-Player Characters in Video Games
Igor Borovikov, Jesse Harder, Michael Sadovsky +1
There is a high demand for high-quality Non-Player Characters (NPCs) in video games. Hand-crafting their behavior is a labor intensive and error prone engineering process with limi…
Winning Isn't Everything: Enhancing Game Development with Intelligent Agents
Yunqi Zhao, Igor Borovikov, Fernando de Mesentier Silva +14
Recently, there have been several high-profile achievements of agents learning to play games against humans and beat them. In this paper, we study the problem of training intellige…
Universal Compression with Side Information from a Correlated Source
Ahmad Beirami, Faramarz Fekri
Packets originated from an information source in the network can be highly correlated. These packets are often routed through different paths, and compressing them requires to proc…