Xiangyu Zhao
Xiangyu Zhao
Home
Publications
Projects
Talks
Notes
CV
Light
Dark
Automatic
Deep Learning
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
Master’s Dissertation supervised by
Prof Pietro Liò
,
Dr Dominique Beaini
and
Hannes Stärk
.
Xiangyu Zhao
,
Hannes Stärk
,
Dominique Beaini
,
Yiren Zhao
,
Pietro Liò
Towards a Competitive 3-Player Mahjong AI using Deep Reinforcement Learning
Published at the 2022 IEEE Conference on Games (CoG).
Xiangyu Zhao
,
Sean B. Holden
Improving Graph Generative Models via Expressive Graph Neural Networks
MEng Graph Representation Learning Mini-Project.
Xiangyu Zhao
,
Chaitanya K. Joshi
,
Cristian Bodnar
26 Apr 2022
Improving Graph Generative Models via Expressive Graph Neural Networks
MEng Graph Representation Learning Mini-Project.
Xiangyu Zhao
,
Chaitanya K. Joshi
,
Cristian Bodnar
Multi-Agent Deep Q-Learning for the Berry Poisoning Game
MEng Advanced Topics in Machine Learning Coursework.
Xiangyu Zhao
Last updated on 4 Apr 2022
Multi-Agent Deep Q-Learning for the Berry Poisoning Game
MEng Advanced Topics in Machine Learning Coursework.
Xiangyu Zhao
Building a 3-Player Mahjong AI using Deep Reinforcement Learning
We present Meowjong, an AI for 3-player Mahjong (Sanma) using deep reinforcement learning. We define an informative and compact 2-dimensional data structure for encoding the observable information in a Sanma game. We pre-train 5 CNNs for Sanma’s 5 actions, and enhance the major action’s model via self-play RL using the Monte Carlo policy gradient method.
Xiangyu Zhao
,
Sean B. Holden
Asynchronous Methods for Deep Reinforcement Learning
Paper-reading presentation for the Reinforcement Learning topic of the MEng Advanced Topics in Machine Learning module.
11 Feb 2022 3:00 PM — 4:00 PM
Computer Laboratory, University of Cambridge
Xiangyu Zhao
Function Autoencoders: A Neural Network Approach to Gaussian Processes
MEng Probabilistic Machine Learning Investigative Project.
Xiangyu Zhao
19 Jan 2022
Function Autoencoders: A Neural Network Approach to Gaussian Processes
MEng Probabilistic Machine Learning Investigative Project.
Xiangyu Zhao
«
»
Cite
×