E-LIB Suche - Ergebnisse für: Böhmer, Wendelin

1

Distributed multi-target tracking and active perception wit..:

Casao, Sara ; Serra-Gómez, Álvaro ; Murillo, Ana C....
Computer Vision and Image Understanding. 238 (2024) - p. 103876 , 2024

Link: https://doi.org/10.1016/..

2

Active Classification of Moving Targets With Learned Contro..:

Serra-Gómez, Álvaro ; Montijano, Eduardo ; Böhmer, Wendelin.
IEEE Robotics and Automation Letters. 8 (2023) 6 - p. 3717-3724 , 2023

Link: https://doi.org/10.1109/..

3

Learning scalable and efficient communication policies for ..:

Serra-Gómez, Álvaro ; Zhu, Hai ; Brito, Bruno..
Autonomous Robots. 47 (2023) 8 - p. 1275-1297 , 2023

Link: https://doi.org/10.1007/..

4

Multi-Robot Local Motion Planning Using Dynamic Optimizatio..:

, In: 2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS),

Bakker, Saray ; Knoedler, Luzia ; Spahn, Max.. - p. 149-155 , 2023

Link: https://doi.org/10.1109/..

5

Surrogate DC Microgrid Models for Optimization of Charging ..:

Veviurko, Grigorii ; Böhmer, Wendelin ; Mackay, Laurens.
Energies. 15 (2022) 4 - p. 1389 , 2022

Link: https://doi.org/10.3390/..

6

Reinforcement Learning for the Knapsack Problem:

, In: Optimization and Data Science: Trends and Applications; AIRO Springer Series,

Pierotti, Jacopo ; Kronmueller, Maximilian ; Alonso-Mora, Javier.. - p. 3-13 , 2021

Link: https://doi.org/10.1007/..

7

Multi-agent Hierarchical Reinforcement Learning with Dynami..:

, In: PRICAI 2019: Trends in Artificial Intelligence; Lecture Notes in Computer Science,

Han, Dongge ; Böhmer, Wendelin ; Wooldridge, Michael. - p. 80-92 , 2019

Link: https://doi.org/10.1007/..

8

Interaction of Instrumental and Goal-Directed Learning Modu..:

Guo, Rong ; Böhmer, Wendelin ; Hebart, Martin...
The Journal of Neuroscience. 36 (2016) 50 - p. 12650-12660 , 2016

Link: https://doi.org/10.1523/..

9

Autonomous Learning of State Representations for Control: A..:

Böhmer, Wendelin ; Springenberg, Jost Tobias ; Boedecker, Joschka..
KI - Künstliche Intelligenz. 29 (2015) 4 - p. 353-362 , 2015

Link: https://doi.org/10.1007/..

10

Generating feature spaces for linear algorithms with regula..:

Böhmer, Wendelin ; Grünewälder, Steffen ; Nickisch, Hannes.
Machine Learning. 89 (2012) 1-2 - p. 67-86 , 2012

Link: https://doi.org/10.1007/..

11

Multi-Robot Local Motion Planning Using Dynamic Optimizatio..:

Bakker, Saray ; Knoedler, Luzia ; Spahn, Max..
http://arxiv.org/abs/2310.12816. , 2023

Link: http://arxiv.org/abs/231..

12

You Shall not Pass: the Zero-Gradient Problem in Predict an..:

Veviurko, Grigorii ; Böhmer, Wendelin ; de Weerdt, Mathijs
http://arxiv.org/abs/2307.16304. , 2023

Link: http://arxiv.org/abs/230..

13

The Role of Diverse Replay for Generalisation in Reinforcem..:

Weltevrede, Max ; Spaan, Matthijs T. J ; Böhmer, Wendelin
http://arxiv.org/abs/2306.05727. , 2023

Link: http://arxiv.org/abs/230..

14

Diverse Projection Ensembles for Distributional Reinforceme..:

Zanger, Moritz A ; Böhmer, Wendelin ; Spaan, Matthijs T. J
http://arxiv.org/abs/2306.07124. , 2023

Link: http://arxiv.org/abs/230..

15

E-MCTS: Deep Exploration in Model-Based Reinforcement Learn..:

Oren, Yaniv ; Spaan, Matthijs T. J ; Böhmer, Wendelin
http://arxiv.org/abs/2210.13455. , 2022

Link: http://arxiv.org/abs/221..