Brendan Tracey

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