30 citations · 37 across the 11 of their papers we have counts for
12 papers
Linking Homeostasis to Reinforcement Learning: Internal State Control of Motivated Behavior
Naoto Yoshida, Henning Sprekeler, Boris Gutkin
For living beings, survival depends on effective regulation of internal physiological states through motivated behaviors. In this perspective we propose that Homeostatically Regula…
Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes
Patrik Reiske, Marcus N. Boon, Niek Andresen +6
Machine learning and computer vision methods have a major impact on the study of natural animal behavior, as they enable the (semi-)automatic analysis of vast amounts of video data…
Discovering Minimal Reinforcement Learning Environments
Jarek Liesen, Chris Lu, Andrei Lupu +3
Reinforcement learning (RL) agents are commonly trained and evaluated in the same environment. In contrast, humans often train in a specialized environment before being evaluated,…
Boosting Fairness and Robustness in Over-the-Air Federated Learning
Halil Yigit Oksuz, Fabio Molinari, Henning Sprekeler +1
Over-the-Air Computation is a beyond-5G communication strategy that has recently been shown to be useful for the decentralized training of machine learning models due to its effici…
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability
Robert Tjarko Lange, Henning Sprekeler
Is the lottery ticket phenomenon an idiosyncrasy of gradient-based training or does it generalize to evolutionary optimization? In this paper we establish the existence of highly s…
Federated Learning in Wireless Networks via Over-the-Air Computations
Halil Yigit Oksuz, Fabio Molinari, Henning Sprekeler +1
In a multi-agent system, agents can cooperatively learn a model from data by exchanging their estimated model parameters, without the need to exchange the locally available data us…