[HTML][HTML] A survey of inverse reinforcement learning

S Adams, T Cody, PA Beling - Artificial Intelligence Review, 2022 - Springer
Learning from demonstration, or imitation learning, is the process of learning to act in an
environment from examples provided by a teacher. Inverse reinforcement learning (IRL) is a …

[HTML][HTML] Hybrid fuzzy AHP–TOPSIS approach to prioritizing solutions for inverse reinforcement learning

V Kukreja - Complex & Intelligent Systems, 2023 - Springer
Reinforcement learning (RL) techniques nurture building up solutions for sequential
decision-making problems under uncertainty and ambiguity. RL has agents with a reward …

Identifying and avoiding confusion in dialogue with people with Alzheimer's disease

H Chinaei, LC Currie, A Danks, H Lin… - Computational …, 2017 - direct.mit.edu
Alzheimer's disease (AD) is an increasingly prevalent cognitive disorder in which memory,
language, and executive function deteriorate, usually in that order. There is a growing need …

Explanation Through Reward Model Reconciliation using POMDP Tree Search

BD Kraske, A Saksena, AL Buczak… - … on Assured Autonomy …, 2023 - ieeexplore.ieee.org
As artificial intelligence (AI) algorithms are increasingly used in mission-critical applications,
promoting user-trust of these systems will be essential to their success. Ensuring users …

[图书][B] Building Dialogue POMDPs from Expert Dialogues: An End-to-end Approach

H Chinaei, B Chaib-draa - 2016 - books.google.com
This book discusses the Partially Observable Markov Decision Process (POMDP) framework
applied in dialogue systems. It presents POMDP as a formal framework to represent …

Sur le rôle de l'être humain dans le dialogue humain/machine

M Barlier - 2018 - theses.hal.science
Cette thèse s' inscrit dans le cadre de l'apprentissage par renforcement pour les systèmes
de dialogue. Ce document propose différentes manières de considérer l'être humain …

Learning the Reward Function

H Chinaei, B Chaib-draa, H Chinaei… - … Dialogue POMDPs from …, 2016 - Springer
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