A Framework for End-to-End Learning on Semantic Tree-Structured Data

1 code implementation • 13 Feb 2020 • William Woof, Ke Chen

In this paper, we propose a novel framework for end-to-end learning on generic semantic tree-structured data of arbitrary topology and heterogeneous data types, such as data expressed in JSON, XML and so on.

Learning to Play General Video-Games via an Object Embedding Network

1 code implementation • 14 Mar 2018 • William Woof, Ke Chen

Deep reinforcement learning (DRL) has proven to be an effective tool for creating general video-game AI.

Object