Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jan Hakenberg"'
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
On-demand mobility has existed for more than 100 years in the form of taxi systems. Comparatively recently, ride-hailing schemes have also grown to a significant mode share. Most types of such one-way mobility-on-demand systems allow drivers taking i
Externí odkaz:
https://doaj.org/article/5aaab33198ec43d4b6f6ec8b0236cc4f
Publikováno v:
IEEE Transactions on Network Science and Engineering. 7:3171-3184
Robotic multi-agent systems can efficiently handle spatially distributed tasks in dynamic environments. Problem instances of particular interest, and generality are the dynamic traveling repairman problem, and the dynamic vehicle routing problem. Ope
Publikováno v:
ITSC
In a mobility-on-demand system, travel requests are handled by a fleet of shared vehicles in an on-demand fashion. An important factor that determines the operational efficiency and service level of such a mobility-on-demand system is its operational
Autor:
A. Kirsten Bowser, Jacopo Tani, Matthew R. Walter, Breandan Considine, Andrea Censi, Ruslan Hristov, Gianmarco Bernasconi, Andrea F. Daniele, Julian Zilly, Liam Paull, Emilio Frazzoli, Claudio Ruch, Florian Golemo, Bhairav Mehta, Manfred Diaz, Jan Hakenberg, Sunil Mallya
Publikováno v:
The Springer Series on Challenges in Machine Learning
The NeurIPS '18 Competition. From Machine Learning to Intelligent Conversations
The NeurIPS '18 Competition ISBN: 9783030291341
The NeurIPS '18 Competition. From Machine Learning to Intelligent Conversations
The NeurIPS '18 Competition ISBN: 9783030291341
Despite recent breakthroughs, the ability of deep learning and reinforcement learning to outperform traditional approaches to control physically embodied robotic agents remains largely unproven. To help bridge this gap, we present the “AI Driving O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41fc569059db2d78589eea957d5cff7b
http://arxiv.org/abs/1903.02503
http://arxiv.org/abs/1903.02503
Autor:
Jan Hakenberg, Ulrich Reif
Publikováno v:
Applied Mathematics and Computation. 272:2-19
We present a method for the precise determination of the volume of subsets of R d which are bounded by a hypersurface parametrized by a set of refinable functions. The derivation is based on the linear refinement equations rather than on closed form
Autor:
Groeger, Josua
Publikováno v:
Forum Mathematicum; Nov2016, Vol. 28 Issue 6, p1031-1050, 20p
Autor:
Peters, Jörg, Reif, Ulrich
Publikováno v:
Subdivision Surfaces; 2008, pi-xvi, 16p
Autor:
Sergio Escalera, Ralf Herbrich
This volume presents the results of the Neural Information Processing Systems Competition track at the 2018 NeurIPS conference. The competition follows the same format as the 2017 competition track for NIPS. Out of 21 submitted proposals, eight compe