3 papers
cs.LG2026
On the Importance of Multistability for Horizon Generalization in Reinforcement Learning
Asad Bakija, Florent De Geeter, Julien Brandoit +2
In reinforcement learning (RL), agents acting in partially observable Markov decision processes (POMDPs) must rely on memory, typically encoded in a recurrent neural network (RNN),…
math.DS2026
Neuromodulation supports robust rhythmic pattern transitions in degenerate central pattern generators with fixed connectivity
Arthur Fyon, Alessio Franci, Pierre Sacré +1
Many essential biological functions, such as breathing and locomotion, rely on the coordination of robust and adaptable rhythmic patterns, governed by specific network architecture…
eess.SY2025
Iterated Invariant Extended Kalman Filter (IterIEKF)
Sven Goffin, Axel Barrau, Silvère Bonnabel +2
We study the mathematical properties of the Invariant Extended Kalman Filter (IEKF) when iterating on the measurement update step, following the principles of the well-known Iterat…