We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
We present a novel approach to natural language generation (NLG) that applies hierarchical reinforcement learning to text generation in the wayfinding domain. Our approach aims to...
—The goal of our work is to develop a programmatically controlled peer to bicycle with a human subject for the purpose of studying how social interactions influence road-crossing...
Sabarish Babu, Timofey Grechkin, Benjamin Chihak, ...
Background: Recently we have witnessed a surge of interest in using genome-wide association studies (GWAS) to discover the genetic basis of complex diseases. Many genetic variatio...
— Decision optimization is used in many applications such as those for finding the best course of action in emergencies. However, optimization solutions require considerable mat...
Alexander Brodsky, Nathan E. Egge, Xiaoyang Sean W...