1 citations · 1 across the 4 of their papers we have counts for
4 papers
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games
Lei Zhang, Mukesh Ghimire, Wenlong Zhang +2
Finding Nash equilibrial policies for two-player differential games requires solving Hamilton-Jacobi-Isaacs (HJI) PDEs. Self-supervised learning has been used to approximate soluti…
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns
Prasanth Buddareddygari, Travis Zhang, Yezhou Yang +1
Recent studies demonstrated the vulnerability of control policies learned through deep reinforcement learning against adversarial attacks, raising concerns about the application of…
Tensor Normal Training for Deep Learning Models
Yi Ren, Donald Goldfarb
Despite the predominant use of first-order methods for training deep learning models, second-order methods, and in particular, natural gradient methods, remain of interest because…
Kronecker-factored Quasi-Newton Methods for Deep Learning
Yi Ren, Achraf Bahamou, Donald Goldfarb
Second-order methods have the capability of accelerating optimization by using much richer curvature information than first-order methods. However, most are impractical for deep le…