Function approximation

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Citations: 2732 • 2021

Natural Actor-Critic

Jan Peters, Stefan Schaal

Citations: 751 • 2008

A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks

Shiqian Wu, Meng Joo Er, Yang Gao

Citations: 391 • 2001

Adaptive control of robot manipulator using fuzzy compensator

Byung Kook Yoo, Woon Chul Ham

Citations: 325 • 2000

Natural Actor-Critic

Jan Peters, Sethu Vijayakumar, Stefan Schaal

Citations: 312 • 2005

A new adaptive learning rule

W. Messner, Roberto Horowitz, W.-W. Kao, M. Boals

Citations: 273 • 1991

Finding Approximate POMDP solutions Through Belief Compression

Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun

Citations: 253 • 2005

Machine Learning for Soft Robotic Sensing and Control

Keene Chin, Tess Hellebrekers, Carmel Majidi

Citations: 212 • 2020

Neural-network approximation of piecewise continuous functions: application to friction compensation

Rastko R. Šelmić, Frank L. Lewis

Citations: 168 • 2002

Neural network approximation of piecewise continuous functions: application to friction compensation

Rastko R. Šelmić, Frank L. Lewis

Citations: 139 • 2002

A tree-structured adaptive network for function approximation in high-dimensional spaces

Terence D. Sanger

Citations: 129 • 1991

Distributed Formation Control Using Artificial Potentials and Neural Network for Constrained Multiagent Systems

Ya Liu, Panfeng Huang, Fan Zhang, Yakun Zhao

Citations: 110 • 2018

FAT-based robust adaptive control of electrically driven robots without velocity measurements

Alireza Izadbakhsh

Citations: 64 • 2017

Sparse incremental learning for interactive robot control policy estimation

Daniel H. Grollman, Odest Chadwicke Jenkins

Citations: 58 • 2008

Adaptive internal state space construction method for reinforcement learning of a real-world agent

Kazuyuki Samejima, Takashi Omori

Citations: 57 • 1999

Neural Approximation-based Model Predictive Tracking Control of Non-holonomic Wheel-legged Robots

Jiehao Li, Junzheng Wang, Shoukun Wang, Wen Qi, Longbin Zhang, Yingbai Hu, Hang Su

Citations: 53 • 2020

Adaptive impedance controller design for flexible-joint electrically-driven robots without computation of the regressor matrix

Ming‐Chih Chien, An‐Chyau Huang

Citations: 48 • 2011

An approximation by neural networkswith a fixed weight

Nahmwoo Hahm, Bum Il Hong

Citations: 43 • 2004

Robust impedance control of robot manipulators using differential equations as universal approximator

Alireza Izadbakhsh, Saeed Khorashadizadeh

Citations: 40 • 2017

CBR for State Value Function Approximation in Reinforcement Learning

Thomas Gabel, Martin Riedmiller

Citations: 37 • 2005