Gabriel Vallat

gabriel.vallat@epfl.ch +41 21 695 55 20

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EPFL STI IGM SYCAMORE
ME C1 399 (Bâtiment ME)
Station 9
1015 Lausanne

+41 21 695 55 20
Office: ME C1 399
EPFL › STI › IGM › SYCAMORE

Site web: https://www.epfl.ch/labs/sycamore

EPFL ENAC IA CRCL
GC G1 557 (Bâtiment GC)
Station 18
CH-1015 Lausanne

+41 21 695 55 20
EPFL › ENAC › IA › CRCL

Site web: https://crcl.epfl.ch

EPFL › ETU › EDOC › EDRS

+41 21 695 55 20
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDRS-GE

Site web: https://go.epfl.ch/phd-edrs

Biographie Publications

Gabriel Vallat holds a Bachelor of Science in microengineering a Master of Science in Robotics from the EPFL. In his master's thesis, he developed a static simulator and a learning algorithm to train robots to build arch-like structures. His research interests lie in game theory, optimization, and reinforcement learning, all applied to robotic construction.

Publications représentatives

Reinforcement learning for scaffold-free construction of spanning structures

Gabriel Vallat, Jingwen Wang, Anna Maddux, Maryam Kamgarpour, Stefana Parscho
Published in ACM SCF in