A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges

Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023‏ - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …

Online learning human behavior for a class of human-in-the-loop systems via adaptive inverse optimal control

HN Wu - IEEE Transactions on Human-Machine Systems, 2022‏ - ieeexplore.ieee.org
To enhance the machines' intelligence, it is important for them to learn how humans perform
tasks. In this article, the issue of online adaptive learning human behavior is addressed for a …

Identifiability and generalizability from multiple experts in inverse reinforcement learning

P Rolland, L Viano, N Schürhoff… - Advances in Neural …, 2022‏ - proceedings.neurips.cc
Abstract While Reinforcement Learning (RL) aims to train an agent from a reward function in
a given environment, Inverse Reinforcement Learning (IRL) seeks to recover the reward …

Map matching on low sampling rate trajectories through deep inverse reinforcement learning and multi-intention modeling

R Safarzadeh, X Wang - International Journal of Geographical …, 2024‏ - Taylor & Francis
Analyzing freight vehicle movements using GPS trajectory data presents challenges due to
environmental conditions and hardware limitations impacting data accuracy. Map matching …

Inverse contextual bandits: Learning how behavior evolves over time

A Hüyük, D Jarrett… - … Conference on Machine …, 2022‏ - proceedings.mlr.press
Understanding a decision-maker's priorities by observing their behavior is critical for
transparency and accountability in decision processes {—} such as in healthcare. Though …