Aja Huang
Google DeepMind (United Kingdom)(GB)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Artificial Intelligence in Games, Educational Games and Gamification, Sports Analytics and Performance, Digital Games and Media, Evolutionary Algorithms and Applications
Most-Cited Works
- → Mastering the game of Go with deep neural networks and tree search(2016)15,572 cited
- → Mastering the game of Go without human knowledge(2017)9,047 cited
- → Grandmaster level in StarCraft II using multi-agent reinforcement learning(2019)3,358 cited
- → Discovering faster matrix multiplication algorithms with reinforcement learning(2022)433 cited
- → Move Evaluation in Go Using Deep Convolutional Neural Networks(2014)92 cited
- → Bayesian Optimization in AlphaGo(2018)78 cited
- → AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning(2023)5 cited
- → Olympiad-level formal mathematical reasoning with reinforcement learning(2025)4 cited