Brendan Tracey
Google DeepMind (United Kingdom)(GB)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Magnetic confinement fusion research, Evolutionary Game Theory and Cooperation, Sports Analytics and Performance, Human-Automation Interaction and Safety
Most-Cited Works
- → Magnetic control of tokamak plasmas through deep reinforcement learning(2022)671 cited
- → A Machine Learning Strategy to Assist Turbulence Model Development(2015)283 cited
- → On the information bottleneck theory of deep learning*(2019)142 cited
- → Stanford University Unstructured (SU2): Analysis and Design Technology for Turbulent Flows(2014)141 cited
- → Application of Supervised Learning to Quantify Uncertainties in Turbulence and Combustion Modeling(2013)118 cited
- → From motor control to team play in simulated humanoid football(2022)77 cited
- → Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes(2018)59 cited
- → Scale and information-processing thresholds in Holocene social evolution(2020)42 cited
- → Using Supervised Learning to Improve Monte Carlo Integral Estimation(2013)24 cited
- → Caveats for information bottleneck in deterministic scenarios(2018)18 cited