Instance-based learning

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

An Algorithmic Perspective on Imitation Learning

Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters

Citations: 379 • 2018

Discovering Structure in Multiple Learning Tasks: The TC Algorithm.

Sebastian Thrun, Joseph A. O’Sullivan

Citations: 203 • 1996

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

Layered Learning

Peter Stone, Manuela Veloso

Citations: 144 • 2000

Machine Learning Aspects and its Applications Towards Different Research Areas

Yogesh Kumar, Komalpreet Kaur, Gurpreet Singh

Citations: 82 • 2020

ON GENERALIZED MULTIPLE-INSTANCE LEARNING

Stephen Scott, Jun Zhang, Joshua W. Brown

Citations: 68 • 2005

Meta-learning with backpropagation

A. Steven Younger, Sepp Hochreiter, Peter R. Conwell

Citations: 64 • 2002

Learning to Learn with Gradients

Chelsea Finn

Citations: 53 • 2018

Simultaneous adversarial multi-robot learning

Michael Bowling, Manuela Veloso

Citations: 39 • 2003

A life-long learning vector quantization approach for interactive learning of multiple categories

Stephan Kirstein, Heiko Wersing, Horst–Michael Groß, Edgar Körner

Citations: 38 • 2011

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

Huimin Peng

Citations: 37 • 2020

Combining Model-Based $Q$ -Learning With Structural Knowledge Transfer for Robot Skill Learning

Zhen Deng, Haojun Guan, Rui Huang, Hongzhuo Liang, Liwei Zhang, Jianwei Zhang

Citations: 37 • 2017

Overlapping layered learning

Patrick MacAlpine, Peter Stone

Citations: 36 • 2017

Machine Learning and Data Mining

Wolfgang Ertel

Citations: 31 • 2011

S-Learning: A Biomimetic Algorithm for Learning, Memory, and Control in Robots

Brandon Rohrer

Citations: 29 • 2007

Perceptual learning and abstraction in machine learning: an application to autonomous robotics

Nicolas Bredèche, Zhongzhi Shi, Jean‐Daniel Zucker

Citations: 28 • 2006

Learning to search: structured prediction techniques for imitation learning

J. Andrew Bagnell, Nathan Ratliff

Citations: 24 • 2009

Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges

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

Citations: 23 • 2019