Optimal single-path information propagation in gradient-based algorithms
Optimally-Self-Healing Distributed Gradient Structures through Bounded Information Speed
Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning
ADAPTIVE WAVELETS SLIDING MODE CONTROL FOR A CLASS OF SECOND ORDER UNDERACTUATED MECHANICAL SYSTEMS
A Deep Reinforcement Learning Approach for Inverse Kinematics of Concentric Tube Robots
Communication-efficient and federated multi-agent reinforcement learning
Simple and precise commercial camera based eye tracking methodology
Automatic Urban Road Users’ Tracking System
Adaptive Moment Estimation To Minimize Square Error In Backpropagation Algorithm
Learning in Nonzero-Sum Stochastic Games with Potentials
Diagnostic Evaluation of Policy-Gradient-Based Ranking
Reinforcement learning for mixed-integer problems based on MPC
Deep reinforcement learning based parameter self-tuning control strategy for VSG
Piola transformations in second-gradient continua