Tobias Pfaff
Cited by
Cited by
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
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
Learning mesh-based simulation with graph networks
T Pfaff, M Fortunato, A Sanchez-Gonzalez, PW Battaglia
International Conference on Learning Representations (ICLR 2021), 2021
Alphastar: Mastering the real-time strategy game starcraft ii
O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ...
DeepMind blog 2, 20, 2019
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
Folding and crumpling adaptive sheets
R Narain, T Pfaff, JF O'Brien
ACM Transactions on Graphics (TOG) 32 (4), 1-8, 2013
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
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
Lagrangian vortex sheets for animating fluids
T Pfaff, N Thuerey, M Gross
ACM Transactions on Graphics (TOG) 31 (4), 1-8, 2012
Synthetic turbulence using artificial boundary layers
T Pfaff, N Thuerey, A Selle, M Gross
ACM SIGGRAPH Asia 2009 papers, 1-10, 2009
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
Predicting Physics in Mesh-reduced Space with Temporal Attention
X Han, H Gao, T Pfaff, JX Wang, LP Liu
International Conference on Machine Learning Representations (ICLR 2022), 2022
N Thuerey, T Pfaff
URL: http://mantaflow. com, 2018
Multiscale meshgraphnets
M Fortunato, T Pfaff, P Wirnsberger, A Pritzel, P Battaglia
arXiv preprint arXiv:2210.00612, 2022
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
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
Physical Design using Differentiable Learned Simulators
KR Allen, T Lopez-Guevara, K Stachenfeld, A Sanchez-Gonzalez, ...
Neural Information Processing Systems (NeurIPS 2022), 2022
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
Graph network simulators can learn discontinuous, rigid contact dynamics
KR Allen, TL Guevara, Y Rubanova, K Stachenfeld, A Sanchez-Gonzalez, ...
Conference on Robot Learning, 1157-1167, 2023
Clothing model generation and display system
JF O'brien, DT Jackson, C Camporesi, D Ram, D Macy, E de Aguiar, ...
US Patent 11,164,381, 2021
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