Preference learning

Active Preference-Based Learning of Reward Functions

Dorsa Sadigh, Anca D. Dragan, S. Shankar Sastry, Sanjit A. Seshia

Citations: 259 • 2017

Active Inference: Demystified and Compared

Citations: 153 • 2021

APRIL: Active Preference Learning-Based Reinforcement Learning

Riad Akrour, Marc Schoenauer, Michèle Sébag

Citations: 94 • 2012

Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks

Citations: 92 • 2015

Preference-Based Policy Learning

Riad Akrour, Marc Schoenauer, Michèle Sébag

Citations: 83 • 2011

Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction

Joachim de Greeff, Tony Belpaeme

Citations: 63 • 2015

Comparing Robot and Human guided Personalization: Adaptive Exercise Robots are Perceived as more Competent and Trustworthy

Sebastian Schneider, Franz Kümmert

Citations: 54 • 2020

Active Preference-Based Gaussian Process Regression for Reward Learning

Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh

Citations: 54 • 2020

An adaptive decision-making system supported on user preference predictions for human–robot interactive communication

Marcos Maroto‐Gómez, Álvaro Castro‐González, José Carlos Castillo, María Malfáz, Miguel Á. Salichs

Citations: 32 • 2022

Improving user specifications for robot behavior through active preference learning: Framework and evaluation

Citations: 28 • 2020

Active Learning of Reward Dynamics from Hierarchical Queries

Chandrayee Basu, Erdem Bıyık, Zhixun He, Mukesh Singhal, Dorsa Sadigh

Citations: 28 • 2019

Active preference-based Gaussian process regression for reward learning and optimization

Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh

Citations: 27 • 2023

Human-Guided Robot Behavior Learning: A GAN-Assisted Preference-Based Reinforcement Learning Approach

Huixin Zhan, Tao Feng, Yongcan Cao

Citations: 27 • 2021

APReL: A Library for Active Preference-based Reward Learning Algorithms

Erdem Bıyık, Aditi Talati, Dorsa Sadigh

Citations: 22 • 2022

Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences

Erdem Bıyık, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh

Citations: 21 • 2021

Fast Adaptation of Deep Reinforcement Learning-Based Navigation Skills to Human Preference

Jinyoung Choi, Christopher R. Dance, Jungeun Kim, Kyung-Sik Park, Jaehun Han, Joonho Seo, Minsu Kim

Citations: 21 • 2020

Learning Reward Functions by Integrating Human Demonstrations and Preferences

Malayandi Palan, Gleb Shevchuk, Nicholas C. Landolfi, Dorsa Sadigh

Citations: 18 • 2019

Batch Active Preference-Based Learning of Reward Functions

Dorsa Sadigh

Citations: 17 • 2018

Feedback-efficient Active Preference Learning for Socially Aware Robot Navigation

Ruiqi Wang, Weizheng Wang, Byung‐Cheol Min

Citations: 16 • 2022

Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models

Yi Liu, Gaurav Datta, Ellen Novoseller, Daniel S. Brown

Citations: 15 • 2023