Audrūnas Gruslys
Google DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Artificial Intelligence in Games, Advanced Bandit Algorithms Research, Medical Image Segmentation Techniques, Auction Theory and Applications
Most-Cited Works
- → Deep Q-learning From Demonstrations(2018)795 cited
- → Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward(2018)488 cited
- → Comparing, optimizing, and benchmarking quantum-control algorithms in a unifying programming framework(2011)255 cited
- → Three-Dimensional Digital Template Atlas of the Macaque Brain(2016)218 cited
- → A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning(2017)142 cited
- → Mastering the game of Stratego with model-free multiagent reinforcement learning(2022)139 cited
- Learning from Demonstrations for Real World Reinforcement Learning(2017)
- → Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents(2018)61 cited
- → Memory-Efficient Backpropagation Through Time(2016)51 cited