Julian Schrittwieser
Google DeepMind (United Kingdom)(GB)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Artificial Intelligence in Games, Evolutionary Algorithms and Applications, Machine Learning and Data Classification, Parallel Computing and Optimization Techniques
Most-Cited Works
- → Mastering the game of Go with deep neural networks and tree search(2016)15,578 cited
- → Mastering the game of Go without human knowledge(2017)9,049 cited
- → A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play(2018)3,451 cited
- → Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm(2017)1,079 cited
- → Gemini: A Family of Highly Capable Multimodal Models(2023)790 cited
- → StarCraft II: A New Challenge for Reinforcement Learning(2017)683 cited
- → Discovering faster matrix multiplication algorithms with reinforcement learning(2022)433 cited
- → Faster sorting algorithms discovered using deep reinforcement learning(2023)151 cited
- → OpenSpiel: A Framework for Reinforcement Learning in Games(2019)106 cited
- → Bayesian Optimization in AlphaGo(2018)78 cited