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pro vyhledávání: '"Hügle, Maria"'
Well-established optimization-based methods can guarantee an optimal trajectory for a short optimization horizon, typically no longer than a few seconds. As a result, choosing the optimal trajectory for this short horizon may still result in a sub-op
Externí odkaz:
http://arxiv.org/abs/2012.03234
Clinical data from electronic medical records, registries or trials provide a large source of information to apply machine learning methods in order to foster precision medicine, e.g. by finding new disease phenotypes or performing individual disease
Externí odkaz:
http://arxiv.org/abs/2008.06294
Popular Maximum Entropy Inverse Reinforcement Learning approaches require the computation of expected state visitation frequencies for the optimal policy under an estimate of the reward function. This usually requires intermediate value estimation in
Externí odkaz:
http://arxiv.org/abs/2008.01712
In many real world applications, reinforcement learning agents have to optimize multiple objectives while following certain rules or satisfying a list of constraints. Classical methods based on reward shaping, i.e. a weighted combination of different
Externí odkaz:
http://arxiv.org/abs/2003.09398
The common pipeline in autonomous driving systems is highly modular and includes a perception component which extracts lists of surrounding objects and passes these lists to a high-level decision component. In this case, leveraging the benefits of de
Externí odkaz:
http://arxiv.org/abs/1909.13582
In the past few years, off-policy reinforcement learning methods have shown promising results in their application for robot control. Deep Q-learning, however, still suffers from poor data-efficiency and is susceptible to stochasticity in the environ
Externí odkaz:
http://arxiv.org/abs/1909.13518
In many real-world decision making problems, reaching an optimal decision requires taking into account a variable number of objects around the agent. Autonomous driving is a domain in which this is especially relevant, since the number of cars surrou
Externí odkaz:
http://arxiv.org/abs/1907.10994
Autor:
Hügle, Maria, Heller, Simon, Watter, Manuel, Blum, Manuel, Manzouri, Farrokh, Dümpelmann, Matthias, Schulze-Bonhage, Andreas, Woias, Peter, Boedecker, Joschka
Implantable, closed-loop devices for automated early detection and stimulation of epileptic seizures are promising treatment options for patients with severe epilepsy that cannot be treated with traditional means. Most approaches for early seizure de
Externí odkaz:
http://arxiv.org/abs/1806.04549
Publikováno v:
Rheumatology Advances in Practice; 2020, Vol. 4 Issue 1, p1-10, 10p
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