Methods for generalization of experimental results in terramechanics
Generalization of human grasping for multi-fingered robot hands
Discrete choice models with q-product random utilities
An approach to enhance the generalization capability of nonlinear aerodynamic reduced-order models
Towards robust car-following based on deep reinforcement learning
Hierarchical reinforcement learning for vehicle routing problems with time windows
Rehearsal and verbal reminders in facilitating compliance with safety rules
Promoting learning, memory, and transfer in a time-constrained, high hazard environment
Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning
A formalism for learning from demonstration
A formalism for learning from demonstration
A Deep Q-Learning Network for Ship Stowage Planning Problem
The Generalization Ability of the Tire Model Based on Bayesian Regularized Artificial Neural Network
Fitting Constrained Trajectory with High Variability into Redundant Robot Workspace