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Tobias Pfaff
Tobias Pfaff
DeepMind
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Año
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
21342019
Alphastar: Mastering the real-time strategy game starcraft ii
O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ...
DeepMind blog 2, 2019
4272019
Learning to simulate complex physics with graph networks
A Sanchez-Gonzalez, J Godwin, T Pfaff, R Ying, J Leskovec, P Battaglia
International Conference on Machine Learning (ICML 2020), 8459-8468, 2020
4052020
Playing hard exploration games by watching youtube
Y Aytar, T Pfaff, D Budden, TL Paine, Z Wang, N de Freitas
Neural Information Processing Systems (NeurIPS 2018), 2018
2142018
Learning mesh-based simulation with graph networks
T Pfaff, M Fortunato, A Sanchez-Gonzalez, PW Battaglia
International Conference on Learning Representations (ICLR 2021), 2021
1682021
Folding and crumpling adaptive sheets
R Narain, T Pfaff, JF O'Brien
ACM Transactions on Graphics (TOG) 32 (4), 1-8, 2013
1402013
Scalable fluid simulation using anisotropic turbulence particles
T Pfaff, N Thuerey, J Cohen, S Tariq, M Gross
ACM SIGGRAPH Asia 2010 papers, 1-8, 2010
1062010
Synthetic turbulence using artificial boundary layers
T Pfaff, N Thuerey, A Selle, M Gross
ACM SIGGRAPH Asia 2009 papers, 1-10, 2009
992009
Lagrangian vortex sheets for animating fluids
T Pfaff, N Thuerey, M Gross
ACM Transactions on Graphics (TOG) 31 (4), 1-8, 2012
962012
Adaptive tearing and cracking of thin sheets
T Pfaff, R Narain, JM De Joya, JF O'Brien
ACM Transactions on Graphics (TOG) 33 (4), 1-9, 2014
952014
MantaFlow
N Thuerey, T Pfaff
URL: http://mantaflow. com, 2018
50*2018
Field-scale apparent hydraulic parameterisation obtained from TDR time series and inverse modelling
U Wollschläger, T Pfaff, K Roth
Hydrology and Earth System Sciences 13 (10), 1953-1966, 2009
482009
Combining q-learning and search with amortized value estimates
JB Hamrick, V Bapst, A Sanchez-Gonzalez, T Pfaff, T Weber, L Buesing, ...
International Conference on Learning Representations (ICLR 2020), 2020
392020
One-shot high-fidelity imitation: Training large-scale deep nets with rl
TL Paine, SG Colmenarejo, Z Wang, S Reed, Y Aytar, T Pfaff, ...
arXiv preprint arXiv:1810.05017, 2018
182018
Turbulent fluids
N Thuerey, T Kim, T Pfaff
ACM SIGGRAPH 2013 Courses, 1-1, 2013
172013
Method and Apparatus to Provide A Clothing Model
DT Jackson, Z Kacic-Alesic, SM Frankel, JF O'brien, T Pfaff, JL Andrews, ...
US Patent App. 15/232,783, 2017
122017
Learned Coarse Models for Efficient Turbulence Simulation
K Stachenfeld, DB Fielding, D Kochkov, M Cranmer, T Pfaff, J Godwin, ...
International Conference on Learning Representations (ICLR 2021), 2021
7*2021
Learning ground states of quantum Hamiltonians with graph networks
D Kochkov, T Pfaff, A Sanchez-Gonzalez, P Battaglia, BK Clark
arXiv preprint arXiv:2110.06390, 2021
52021
Physical Design using Differentiable Learned Simulators
KR Allen, T Lopez-Guevara, K Stachenfeld, A Sanchez-Gonzalez, ...
arXiv preprint arXiv:2202.00728, 2022
32022
Constraint-based graph network simulator
Y Rubanova, A Sanchez-Gonzalez, T Pfaff, P Battaglia
International Conference on Machine Learning (ICML 2022), 2021
32021
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