129 citations · 372 across the 27 of their papers we have counts for
4 papers · 1 filter
Active Inverse Learning in Stackelberg Trajectory Games
William Ward, Yue Yu, Jacob Levy +3
Game-theoretic inverse learning is the problem of inferring a player's objectives from their actions. We formulate an inverse learning problem in a Stackelberg game between a leade…
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
Gianfranco Cortes, Yue Yu, Robin Chen +3
With the advent of group equivariant convolutions in deep networks literature, spherical CNNs with -equivariant layers have been developed to cope with data that ar…
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning
Shenghui Chen, Yue Yu, David Fridovich-Keil +1
Markov games model interactions among multiple players in a stochastic, dynamic environment. Each player in a Markov game maximizes its expected total discounted reward, which depe…
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation
Ning Liu, Yue Yu, Huaiqian You +1
Neural operators, which emerge as implicit solution operators of hidden governing equations, have recently become popular tools for learning responses of complex real-world physica…