most citedA Framework for End-to-End Learning on Semantic Tree-Structured Data

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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-…