Learning and Using Hand Abstraction Values for Parameterized Poker Squares. - Todd W. Neller; Colin M. Messinger; Zuozhi Yang (AAAI, 2016)

Monte Carlo Approaches to Parameterized Poker Squares. - Todd W. Neller; Zuozhi Yang; Colin M. Messinger; Calin Anton; Karo Castro-Wunsch; William Maga; Steven A. Bogaerts; Robert Arrington; Clay Langley (Computers and Games, 2016)

A Monte Carlo Localization Assignment Using a Neato Vacuum with ROS. - Zuozhi Yang; Todd W. Neller (AAAI, 2017)

Learning Map-Independent Evaluation Functions for Real-Time Strategy Games. - Zuozhi Yang; Santiago Ontañón (CIG, 2018)

Extracting Policies from Replays to Improve MCTS in Real Time Strategy Games. - Zuozhi Yang; Santiago Ontañón (KEG@AAAI, 2019)

Guiding Monte Carlo Tree Search by Scripts in Real-Time Strategy Games. - Zuozhi Yang; Santiago Ontañón (AIIDE, 2019)

Bandit-Based Policy Optimization for Monte Carlo Tree Search in RTS Games. - Zuozhi Yang; Santiago Ontañón (AIIDE Workshops, 2020)

Are Strong Policies Also Good Playout Policies? Playout Policy Optimization for RTS Games. - Zuozhi Yang; Santiago Ontañón (AIIDE, 2020)

Contextual Combinatorial Bandits in Real-Time Strategy Games. - Zuozhi Yang; Santiago Ontañón (CoG, 2021)

An Experimental Survey on Methods for Integrating Scripts Into Adversarial Search for RTS Games. - Zuozhi Yang; Santiago Ontañón (IEEE Trans. Games, 2022)