Active preference learning in product design decisions
نویسندگان
چکیده
منابع مشابه
Career Decisions and Active Learning
The present study examined the reliability of student evaluations of summer undergraduate research experiences using the SURE (Survey of Undergraduate Research Experiences) and a follow-up survey disseminated 9 mo later. The survey further examines the hypothesis that undergraduate research enhances the educational experience of science undergraduates, attracts and retains talented students to ...
متن کاملAPRIL: Active Preference Learning-Based Reinforcement Learning
This paper focuses on reinforcement learning (RL) with limited prior knowledge. In the domain of swarm robotics for instance, the expert can hardly design a reward function or demonstrate the target behavior, forbidding the use of both standard RL and inverse reinforcement learning. Although with a limited expertise, the human expert is still often able to emit preferences and rank the agent de...
متن کاملModeling active learning decisions during causal learning
An important type of decision making concerns how people choose to gather information which reduces their uncertainty about the world. For example, when learning about a novel piece of technology, like a smartphone, people often actively intervene on various aspects in order to better understand the function of the system. Interventions allow us to tell apart causal structures that are indistin...
متن کاملIntegrating Product Form Preference into Engineering Design
The product form has an important role in the judgment of a product, and increasingly more products within a market segment have similar technology and performance. This has elevated the importance of the appearance of a product, and being the first impression of a product visual, this work presents methods for the integration of the product form preference into the engineering design process. ...
متن کاملActive Preference Learning for Personalized Portfolio Construction
In financial asset management, choosing a portfolio requires balancing returns, risk, exposure, liquidity, volatility and other factors. These concerns are difficult to compare explicitly, with many asset managers using an intuitive or implicit sense of their interaction. We propose a mechanism for learning someone’s sense of distinctness between portfolios with the goal of being able to identi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia CIRP
سال: 2021
ISSN: 2212-8271
DOI: 10.1016/j.procir.2021.05.067