3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 3 cited
A Framework for End-to-End Learning on Semantic Tree-Structured Data
William Woof, Ke Chen
While learning models are typically studied for inputs in the form of a fixed dimensional feature vector, real world data is rarely found in this form. In order to meet the basic r…
cs.LG2018
Learning to Play General Video-Games via an Object Embedding Network
William Woof, Ke Chen
Deep reinforcement learning (DRL) has proven to be an effective tool for creating general video-game AI. However most current DRL video-game agents learn end-to-end from the video-…