Regret-based Bayesian sequential decision-making for human …
Abstract: We consider domain search tasks using autonomous multi-agent teams collaborating with a human operator. A Bayesian sequential decision-making strategy is first proposed for the optimal allocation of manual and autonomous sensing mode in the presence of sensing …
Regret-Based Automated Decision-Making Aids for Domain …
Jan 6, 2016 · In this paper, we consider domain search tasks using a human-agent collaborative team. An automated Bayesian sequential decision-making strategy is first proposed for the …
- Author: Yue Wang
- Publish Year: 2016
A quantitative measure of regret in decision-making for human …
In particular, regret theory qualitatively models human's rational decision-making behaviors under uncertainty. We propose a holistic framework to measure regret quantitatively, an individual …
A regret-based autonomy allocation scheme for human-robot …
In this paper, we include human regret analysis in Bayesian decision-making in the automated allocation of sensing modes for detection of right assembly parts. We evaluate this approach …
A Personalized Computational Model for Human-Like Automated …
Mar 5, 2021 · We propose a computational model for enabling robots to automatically make decisions under risk in a human-like way. Human decision-making (DM) under risk is …
Respect Your Emotion: Human-Multi-Robot Teaming based on …
This work studies the human-like characteristics brought by regret emotion in one-human-multirobot teaming for the application of domain search. In such applications, the task …
Trust-Preserved Human-Robot Shared Autonomy enabled by …
Aug 2, 2024 · Adopting a longitudinal perspective on trust development and calibration in human-robot teams, the proposed trust-preserved shared autonomy strategy warrants robots to …
Clustering Trust Dynamics in a Human-Robot Sequential Decision …
Jul 6, 2022 · The oscillators tend to get significantly more frustrated than the Bayesian decision makers. In this paper, we present a framework for trust-aware sequential decision-making in a …
Collaborative Regret Minimization for Piecewise ... - IEEE Xplore
We propose a solution to that problem, RBO-Coop-UCB, which involves an efficient multi-agent UCB algorithm with a Bayesian change point detector as its core, enhanced by a collaboration …
The Regret Motivated Reinforcement Learning - IEEE Xplore
However, standard reinforcement learning models do not contain the influence of emotion, which should contribute to humans' and animals' decision-making. This paper focuses on “Regret,” …