Thomas Hubert

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Artificial Intelligence in Games, Evolutionary Algorithms and Applications, Machine Learning and Data Classification, Educational Games and Gamification

Most-Cited Works

• → Mastering the game of Go without human knowledge(2017)9,047 cited
• → A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play(2018)3,450 cited
• → Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm(2017)1,079 cited
• → Discovering faster matrix multiplication algorithms with reinforcement learning(2022)433 cited
• → Faster sorting algorithms discovered using deep reinforcement learning(2023)151 cited
• → Monte-Carlo Tree Search as Regularized Policy Optimization(2020)34 cited
• → Online and Offline Reinforcement Learning by Planning with a Learned Model(2021)26 cited
• → Approximate Exploitability: Learning a Best Response(2022)11 cited
• Learning and Planning in Complex Action Spaces(2021)