Active learning (machine learning)

Foundations for a New Science of Learning

Andrew N. Meltzoff, Patricia K. Kuhl, Javier R. Movellan, Terrence J. Sejnowski

Citations: 710 • 2009

Transfer Learning in Deep Reinforcement Learning: A Survey

Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, Jiayu Zhou

Citations: 672 • 2023

Gaussian Processes for Data-Efficient Learning in Robotics and Control

Marc Peter Deisenroth, Dieter Fox, Carl Edward Rasmussen

Citations: 656 • 2013

Continual Learning for Robotics: Definition, Framework, Learning\n Strategies, Opportunities and Challenges

Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz-Rodríguez

Citations: 492 • 2019

On-the-fly closed-loop materials discovery via Bayesian active learning

Citations: 388 • 2020

Logical and Relational Learning

Luc De Raedt

Citations: 327 • 2008

On-the-fly closed-loop materials discovery via Bayesian active learning

A. Gilad Kusne, Heshan Yu, Changming Wu, H. R. Zhang, Jason Hattrick‐Simpers, Brian DeCost, Suchismita Sarker, Corey Oses, Cormac Toher, Stefano Curtarolo, Albert V. Davydov, Ritesh Agarwal, Leonid A. Bendersky, Mo Li, Apurva Mehta, Ichiro Takeuchi

Citations: 325

Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation

Masashi Sugiyama, Motoaki Kawanabe

Citations: 268 • 2012

Learning Control in Robotics

Stefan Schaal, Christopher G. Atkeson

Citations: 157 • 2010

Explanation-Based Neural Network Learning: A Lifelong Learning Approach

Sebastian Thrun

Citations: 154 • 2012

Active Inference: Demystified and Compared

Citations: 153 • 2021

Active Policy Learning for Robot Planning and Exploration under Uncertainty

Rubén Martínez-Cantín, Nando de Freitas, Randal Douc, José A. Castellanos

Citations: 148 • 2007

Designing Interactions for Robot Active Learners

Maya Çakmak, Crystal Chao, Andrea L. Thomaz

Citations: 148 • 2010

Layered Learning

Peter Stone, Manuela Veloso

Citations: 144 • 2000

Active Inference: Demystified and Compared

Citations: 135 • 2021

Integrating State Representation Learning Into Deep Reinforcement Learning

Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuška

Citations: 118 • 2018

The design and analysis of efficient learning algorithms

Robert E. Schapire

Citations: 99 • 1992

APRIL: Active Preference Learning-Based Reinforcement Learning

Riad Akrour, Marc Schoenauer, Michèle Sébag

Citations: 94 • 2012

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Feng Yao, Hang Su, Jun Zhu

Citations: 90 • 2022

An effective educational tool: construction kits for fun and meaningful learning

Sibel Somyürek

Citations: 76 • 2014