research
∙
08/09/2023
Differentially Private Graph Neural Network with Importance-Grained Noise Adaption
Graph Neural Networks (GNNs) with differential privacy have been propose...
share
research
∙
07/30/2023
Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning
Autonomous navigation of Unmanned Surface Vehicles (USV) in marine envir...
research
∙
07/13/2023
Vehicle Dispatching and Routing of On-Demand Intercity Ride-Pooling Services: A Multi-Agent Hierarchical Reinforcement Learning Approach
The integrated development of city clusters has given rise to an increas...
research
∙
04/19/2023
Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
Route planning is essential to mobile robot navigation problems. In rece...
research
∙
04/05/2023
Many Data: Combine Experimental and Observational Data through a Power Likelihood
Randomized controlled trials are commonly regarded as the gold standard ...
research
∙
02/03/2023
Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT
The emergence of artificial intelligence has incited a paradigm shift ac...
research
∙
11/09/2022
Strategy to select most efficient RCT samples based on observational data
Randomized experiments can provide unbiased estimates of sample average ...
research
∙
02/13/2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Multi-vehicle routing problem with soft time windows (MVRPSTW) is an ind...
research
∙
12/30/2019
Pareto Multi-Task Learning
Multi-task learning is a powerful method for solving multiple correlated...
research
∙
12/02/2019
A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation
This paper reports on a robust RGB-D SLAM system that performs well in s...
research
∙
11/04/2018
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm
The surrogate-assisted optimization algorithm is a promising approach fo...
research
∙
11/04/2018
Nonlinear Collaborative Scheme for Deep Neural Networks
Conventional research attributes the improvements of generalization abil...
research
∙
10/24/2018
