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Wouter Caarls
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2020 – today
- 2024
- [j11]Renata Garcia Oliveira, Wouter Caarls:
Online weighted Q-ensembles for reduced hyperparameter tuning in reinforcement learning. Soft Comput. 28(13-14): 8549-8559 (2024) - [c23]Gabriel Lins Tenório, Weria Khaksar, Wouter Caarls:
Depth-Enhanced 3D Deep Learning for Strawberry Detection and Widest Region Identification in Polytunnels. ICAART (2) 2024: 471-481 - 2023
- [c22]Igor Ferreira da Costa, Wouter Caarls:
Crop Row Line Detection with Auxiliary Segmentation Task. BRACIS (3) 2023: 162-175 - [c21]Gabriel Baruque, Wouter Caarls:
All Action Updates for Reinforcement Learning with Costly Features. LA-CCI 2023: 1-6 - [c20]Evelyn Conceição Santos Batista, Wouter Caarls, Leonardo A. F. Mendoza, Marco Aurélio Pacheco:
DRQN to optimize viewpoint planning in underwater environments. LA-CCI 2023: 1-6 - [c19]Luis C. Parra Camacho, Wouter Caarls:
Optimized Fuzzy Logic Controller for a Bipedal Walking Robot. LA-CCI 2023: 1-6 - 2022
- [c18]Adalberto I. S. Oliveira, Antonio C. Leite, Wouter Caarls:
Intelligent Robust Control for Second-Order Non-Linear Systems with Smart Gain Tuning based on Reinforcement Learning. IJCNN 2022: 1-8 - [i5]Renata Garcia Oliveira, Wouter Caarls:
Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in Reinforcement Learning. CoRR abs/2209.15078 (2022) - [i4]Guilherme Siqueira Eduardo, Wouter Caarls:
Designing a Robust Low-Level Agnostic Controller for a Quadrotor with Actor-Critic Reinforcement Learning. CoRR abs/2210.02964 (2022) - 2021
- [j10]Gabriel Lins Tenório, Wouter Caarls:
Automatic visual estimation of tomato cluster maturity in plant rows. Mach. Vis. Appl. 32(4): 78 (2021) - [c17]Renata Garcia Oliveira, Wouter Caarls:
A History-based Framework for Online Continuous Action Ensembles in Deep Reinforcement Learning. ICAART (2) 2021: 580-588 - [c16]Evelyn Conceição Santos Batista, Wouter Caarls, Leonardo A. Forero, Marco Aurélio Pacheco:
Training an Agent to Find and Reach an Object in Different Environments using Visual Reinforcement Learning and Transfer Learning. ICAART (2) 2021: 732-741 - [i3]Franklin Cardeñoso Fernandez, Wouter Caarls:
Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks. CoRR abs/2101.06227 (2021) - [i2]Wouter Caarls:
Deep Reinforcement Learning with Embedded LQR Controllers. CoRR abs/2101.07175 (2021) - 2020
- [j9]Leandro Santiago, Letícia Dias Verona, Fábio Medeiros Rangel, Fabrício Firmino de Faria, Daniel S. Menasché, Wouter Caarls, Maurício Breternitz Jr., Sandip Kundu, Priscila M. V. Lima, Felipe M. G. França:
Weightless Neural Networks as Memory Segmented Bloom Filters. Neurocomputing 416: 292-304 (2020)
2010 – 2019
- 2019
- [c15]Gabriel Lins Tenório, Felipe F. Martins, Thiago M. Carvalho, Antonio C. Leite, Karla Figueiredo, Marley M. B. R. Vellasco, Wouter Caarls:
Comparative Study of Computer Vision Models for Insect Pest Identification in Complex Backgrounds. DeSE 2019: 551-556 - [c14]William de Souza Barbosa, Adalberto I. S. Oliveira, Gustavo B. P. Barbosa, Antonio C. Leite, Karla T. Figueiredo, Marley M. B. R. Vellasco, Wouter Caarls:
Design and Development of an Autonomous Mobile Robot for Inspection of Soy and Cotton Crops. DeSE 2019: 557-562 - [c13]Adalberto I. S. Oliveira, Thiago M. Carvalho, Felipe F. Martins, Antonio C. Leite, Karla T. Figueiredo, Marley M. B. R. Vellasco, Wouter Caarls:
On the Intelligent Control Design of an Agricultural Mobile Robot for Cotton Crop Monitoring. DeSE 2019: 563-568 - [c12]Leandro Santiago de Araújo, Letícia Dias Verona, Fábio Medeiros Rangel, Fabrício Firmino de Faria, Daniel Sadoc Menasché, Wouter Caarls, Maurício Breternitz, Sandip Kundu, Priscila Machado Vieira Lima, Felipe Maia Galvão França:
Memory Efficient Weightless Neural Network using Bloom Filter. ESANN 2019 - [c11]Gabriel Lins Tenório, Cristian E. Muñoz Villalobos, Leonardo A. Forero Mendoza, Eduardo Costa da Silva, Wouter Caarls:
Improving Transfer Learning Performance: An Application in the Classification of Remote Sensing Data. ICAART (2) 2019: 174-183 - 2018
- [j8]Berk Çalli, Wouter Caarls, Martijn Wisse, Pieter P. Jonker:
Viewpoint optimization for aiding grasp synthesis algorithms using reinforcement learning. Adv. Robotics 32(20): 1077-1089 (2018) - [j7]Ivan Koryakovskiy, Manuel Kudruss, Heike Vallery, Robert Babuska, Wouter Caarls:
Model-Plant Mismatch Compensation Using Reinforcement Learning. IEEE Robotics Autom. Lett. 3(3): 2471-2477 (2018) - [j6]Berk Çalli, Wouter Caarls, Martijn Wisse, Pieter P. Jonker:
Active Vision via Extremum Seeking for Robots in Unstructured Environments: Applications in Object Recognition and Manipulation. IEEE Trans Autom. Sci. Eng. 15(4): 1810-1822 (2018) - [c10]Samara A. Alves, Wouter Caarls, Priscila M. V. Lima:
Weightless Neural Network for High Frequency Trading. IJCNN 2018: 1-7 - 2017
- [j5]Ivan Koryakovskiy, Manuel Kudruss, Robert Babuska, Wouter Caarls, Christian Kirches, Katja D. Mombaur, Johannes P. Schlöder, Heike Vallery:
Benchmarking model-free and model-based optimal control. Robotics Auton. Syst. 92: 81-90 (2017) - 2016
- [j4]Alexandre Reiffers-Masson, Eduardo M. Hargreaves, Eitan Altman, Wouter Caarls, Daniel S. Menasché:
Timelines are Publisher-Driven Caches: Analyzing and Shaping Timeline Networks. SIGMETRICS Perform. Evaluation Rev. 44(3): 26-29 (2016) - [j3]Wouter Caarls, Erik Schuitema:
Parallel Online Temporal Difference Learning for Motor Control. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1457-1468 (2016) - 2015
- [c9]Bruno Costa, Wouter Caarls, Daniel Sadoc Menasché:
Dyna-MLAC: Trading Computational and Sample Complexities in Actor-Critic Reinforcement Learning. BRACIS 2015: 37-42 - [c8]Kimberly McGuire, Masato Tsukada, Boris Lenseigne, Wouter Caarls, Masato Toda, Pieter Jonker:
A Novel Method for Simultaneous Acquisition of Visible and Near-Infrared Light Using a Coded Infrared-Cut Filter. CAIP (1) 2015: 174-185 - [i1]Wouter Caarls, Eduardo M. Hargreaves, Daniel S. Menasché:
Q-caching: an integrated reinforcement-learning approach for caching and routing in information-centric networks. CoRR abs/1512.08469 (2015) - 2014
- [c7]Mukunda Bharatheesha, Wouter Caarls, Wouter Jan Wolfslag, Martijn Wisse:
Distance metric approximation for state-space RRTs using supervised learning. IROS 2014: 252-257 - 2013
- [j2]Oytun Akman, Ronald Poelman, Wouter Caarls, Pieter Jonker:
Multi-cue hand detection and tracking for a head-mounted augmented reality system. Mach. Vis. Appl. 24(5): 931-946 (2013) - [c6]Jurren Pen, Wouter Caarls, Martijn Wisse, Robert Babuska:
Evolutionary co-optimization of control and system parameters for a resonating robot arm. ICRA 2013: 4195-4202 - [c5]Hendrik Jan Meijdam, Michiel Plooij, Wouter Caarls:
Learning while preventing mechanical failure due to random motions. IROS 2013: 182-187 - 2012
- [c4]Berk Çalli, Wouter Caarls, Pieter Jonker, Martijn Wisse:
Comparison of extremum seeking control algorithms for robotic applications. IROS 2012: 3195-3202
2000 – 2009
- 2006
- [j1]Wouter Caarls, Pieter P. Jonker, Henk Corporaal:
Skeletons and Asynchronous RPC for Embedded Data and Task Parallel Image Processing. IEICE Trans. Inf. Syst. 89-D(7): 2036-2043 (2006) - [c3]Wouter Caarls, Pieter P. Jonker, Henk Corporaal:
Algorithmic skeletons for stream programming in embedded heterogeneous parallel image processing applications. IPDPS 2006 - 2005
- [c2]Wouter Caarls, Pieter P. Jonker, Henk Corporaal:
Skeletons and Asynchronous RPC for Embedded Data- and Task Parallel Image Processing. MVA 2005: 384-387 - [c1]Floris Mantz, Pieter P. Jonker, Wouter Caarls:
Behavior-Based Vision on a 4 Legged Soccer Robot. RoboCup 2005: 480-487
Coauthor Index
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last updated on 2024-09-10 01:15 CEST by the dblp team
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