Zobrazeno 1 - 10
of 5 872
pro vyhledávání: '"Voelcker"'
Autor:
Guan, Jonas, Verch, Shon Eduard, Voelcker, Claas, Jackson, Ethan C., Papernot, Nicolas, Cunningham, William A.
A computational problem in biological reward-based learning is how credit assignment is performed in the nucleus accumbens (NAc). Much research suggests that NAc dopamine encodes temporal-difference (TD) errors for learning value predictions. However
Externí odkaz:
http://arxiv.org/abs/2411.03604
Autor:
Voelcker, Claas A, Hussing, Marcel, Eaton, Eric, Farahmand, Amir-massoud, Gilitschenski, Igor
Building deep reinforcement learning (RL) agents that find a good policy with few samples has proven notoriously challenging. To achieve sample efficiency, recent work has explored updating neural networks with large numbers of gradient steps for eve
Externí odkaz:
http://arxiv.org/abs/2410.08896
Empirical, benchmark-driven testing is a fundamental paradigm in the current RL community. While using off-the-shelf benchmarks in reinforcement learning (RL) research is a common practice, this choice is rarely discussed. Benchmark choices are often
Externí odkaz:
http://arxiv.org/abs/2410.08870
Autor:
Voelcker, Gabriel
I show that corporate insiders’ decision to retain shares is pervasive and informative about future firm performance. Insiders file Form 144 with the US Securities and Exchange Commission to report their intention to introduce unregistered stock in
Externí odkaz:
https://hdl.handle.net/1721.1/155852
We investigate the impact of auxiliary learning tasks such as observation reconstruction and latent self-prediction on the representation learning problem in reinforcement learning. We also study how they interact with distractions and observation fu
Externí odkaz:
http://arxiv.org/abs/2406.17718
We show that deep reinforcement learning algorithms can retain their ability to learn without resetting network parameters in settings where the number of gradient updates greatly exceeds the number of environment samples by combatting value function
Externí odkaz:
http://arxiv.org/abs/2403.05996
Autor:
Pischke, Claudia R, Voelcker-Rehage, Claudia, Peters, Manuela, Ratz, Tiara, Pohlabeln, Hermann, Meyer, Jochen, von Holdt, Kai, Lippke, Sonia
Publikováno v:
JMIR Research Protocols, Vol 9, Iss 4, p e15168 (2020)
BackgroundDespite the known health benefits of physical activity (PA), less than half and less than one-third of older adults in Germany reach the PA recommendations for endurance training and strength training, respectively, of the World Health Orga
Externí odkaz:
https://doaj.org/article/3351b6d7fee8442b8fd67ad3c1c15e89
Human aging is associated with structural and functional brain deteriorations and a corresponding cognitive decline. Exergaming (i.e., physically active video-gaming) has been supposed to attenuate age-related brain deteriorations and may even improv
Autor:
Julian Rudisch, Luis K. H. Holzhauer, Karmen Kravanja, Fred H. Hamker, Claudia Voelcker-Rehage
Publikováno v:
npj Science of Learning, Vol 9, Iss 1, Pp 1-17 (2024)
Abstract Observational practice is discussed as a substitute for physical practice for motor learning and adaptation. We systematically reviewed the literature on observational practice in reaching and aiming tasks. Our objectives were to identify (i
Externí odkaz:
https://doaj.org/article/3e2ed954205e485d900f1ba2ccd034d8
Autor:
Bruni, Estelle P., Rusconi, Olivia, Broennimann, Olivier, Adde, Antoine, Jauslin, Raphaël, Krashevska, Valentyna, Kosakyan, Anush, du Châtelet, Eric Armynot, Alcino, João P. B., Beyens, Louis, Blandenier, Quentin, Bobrov, Anatoly, Burdman, Luciana, Duckert, Clément, Fernández, Leonardo D., Gomes e Souza, Maria Beatriz, Heger, Thierry J., Koenig, Isabelle, Lahr, Daniel J. G., McKeown, Michelle, Meisterfeld, Ralf, Singer, David, Voelcker, Eckhard, Wilmshurst, Janet, Wohlhauser, Sebastien, Wilkinson, David M., Guisan, Antoine, Mitchell, Edward A. D.
Publikováno v:
Diversity and Distributions, 2024 Feb 01. 30(2), 1-21.
Externí odkaz:
https://www.jstor.org/stable/48755839