Hyperparameter optimization

Motion trajectory prediction based on a CNN-LSTM sequential model

Guo Xie, Anqi Shangguan, Rong Fei, Wenjiang Ji, Weigang Ma, Xinhong Hei

Citations: 189 • 2020

Grid Path Planning with Deep Reinforcement Learning: Preliminary Results

Aleksandr I. Panov, Konstantin Yakovlev, Roman Suvorov

Citations: 157 • 2018

A modified support vector data description based novelty detection approach for machinery components

Shijin Wang, Jianbo Yu, Edzel Lapira, Jay Lee

Citations: 67 • 2012

Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems

Rubén Martínez-Cantín

Citations: 44 • 2018

Classification-based learning by particle swarm optimization for wall-following robot navigation

Yen-Lun Chen, Jun Cheng, Chuan Lin, Xinyu Wu, Yongsheng Ou, Yangsheng Xu

Citations: 34 • 2013

A dynamic Bayesian optimized active recommender system for curiosity-driven partially Human-in-the-loop automated experiments

Arpan Biswas, Yongtao Liu, Nicole Creange, Yuchen Liu, Stephen Jesse, Jan‐Chi Yang, Sergei V. Kalinin, Maxim Ziatdinov, Rama K. Vasudevan

Citations: 28 • 2024

Estimation of different ripening stages of Fuji apples using image processing and spectroscopy based on the majority voting method

Razieh Pourdarbani, Sajad Sabzi, Davood Kalantari, Jitendra Paliwal, Brahim Benmouna, Ginés Garcı́a-Mateos, José Miguel Molina‐Martínez

Citations: 28 • 2020

The element-based method - theory and its application to bayesian search and tracking -

Tomonari Furukawa, Hugh Durrant‐Whyte, Benjamin Lavis

Citations: 28 • 2007

Real-Time Search in Dynamic Worlds

David Bond, Niels Widger, Wheeler Ruml, Xiaoxun Sun

Citations: 21 • 2010

Performance comparison of lithium polymer battery SOC estimation using GWO-BiLSTM and cutting-edge deep learning methods

Göksu Taş, Cafer Bal, Ali Uysal

Citations: 16 • 2023

Predicting the Energy Consumption of a Robot in an Exploration Task Using Optimized Neural Networks

Liesle Caballero, Álvaro Perafan, Martha Rinaldy, Winston Percybrooks

Citations: 11 • 2021

Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning

Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein

Citations: 9 • 2022

Classification of subtask types and skill levels in robot-assisted surgery using EEG, eye-tracking, and machine learning

Somayeh B. Shafiei, Saeed Shadpour, James L. Mohler, Eric Kauffman, Matthew Holden, Camille Gutierrez

Citations: 7 • 2024

A search and rescue robot search method based on flower pollination algorithm and Q-learning fusion algorithm

Bing Hao, Jianshuo Zhao, He Du, Qi Wang, Qi Yuan, Shuo Zhao

Citations: 7 • 2023

Incremental bootstrapping of parameterized motor skills

Jeffrey Queißer, Felix Reinhart, Jochen J. Steil

Citations: 7 • 2016

Information Diffusion for Few-Shot Learning in Robotic Residual Errors Compensation

Zeyuan Yang, Xiaohu Xu, Cheng Li, Sijie Yan, Shuzhi Sam Ge, Han Ding

Citations: 6 • 2022

BOOSTING THE ACCURACY OF OPTIMISATION CHATBOT BY RANDOM FOREST WITH HALVING GRID SEARCH HYPERPARAMETER TUNING

Bedre Nagaraj, Kiran B. Malagi

Citations: 5 • 2023

A Coordinated Wilderness Search and Rescue Technique Inspired by Bacterial Foraging Behavior

Jimenez Francisco, Carlos Lara-Álvarez

Citations: 5 • 2018

Humanising robot-assisted navigation

Placido Falqueto, Alessandro Antonucci, Luigi Palopoli, Daniele Fontanelli

Citations: 4 • 2023

Refining the ONCE Benchmark With Hyperparameter Tuning

Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev, Ilya Makarov

Citations: 4 • 2024