3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.AI2018
A unified strategy for implementing curiosity and empowerment driven reinforcement learning
Ildefons Magrans de Abril, Ryota Kanai
Although there are many approaches to implement intrinsically motivated artificial agents, the combined usage of multiple intrinsic drives remains still a relatively unexplored res…
cs.AI2018
Curiosity-driven reinforcement learning with homeostatic regulation
Ildefons Magrans de Abril, Ryota Kanai
We propose a curiosity reward based on information theory principles and consistent with the animal instinct to maintain certain critical parameters within a bounded range. Our exp…
q-bio.NC2017★ 3 cited
Connectivity Inference from Neural Recording Data: Challenges, Mathematical Bases and Research Directions
Ildefons Magrans de Abril, Junichiro Yoshimoto, Kenji Doya
This article presents a review of computational methods for connectivity inference from neural activity data derived from multi-electrode recordings or fluorescence imaging. We fir…