Tobias Pfaff
Google (United States)(US)Google DeepMind (United Kingdom)(GB)DeepMind (United Kingdom)(GB)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Computer Graphics and Visualization Techniques, Advanced Vision and Imaging, Robot Manipulation and Learning, 3D Shape Modeling and Analysis, Reinforcement Learning in Robotics
Most-Cited Works
- → Grandmaster level in StarCraft II using multi-agent reinforcement learning(2019)3,358 cited
- → Learning to Simulate Complex Physics with Graph Networks(2020)445 cited
- → Folding and crumpling adaptive sheets(2013)129 cited
- → Lagrangian vortex sheets for animating fluids(2012)97 cited
- → Adaptive tearing and cracking of thin sheets(2014)85 cited
- → Field-scale apparent hydraulic parameterisation obtained from TDR time series and inverse modelling(2009)59 cited
- → Synthetic turbulence using artificial boundary layers