6 citations · 27 across the 29 of their papers we have counts for
6 papers · 1 filter
ε-Optimally Solving Two-Player Zero-Sum POSGs
Erwan Christian Escudie, Matthia Sabatelli, Olivier Buffet +1
We present a novel framework for ε-optimally solving two-player zero-sum partially observable stochastic games (zs-POSGs). These games pose a major challenge due to the absence of…
On The Presence of Double-Descent in Deep Reinforcement Learning
Viktor Veselý, Aleksandar Todorov, Matthia Sabatelli
The double descent (DD) paradox, where over-parameterized models see generalization improve past the interpolation point, remains largely unexplored in the non-stationary domain of…
On the Generalisation of Koopman Representations for Chaotic System Control
Kyriakos Hjikakou, Juan Diego Cardenas Cartagena, Matthia Sabatelli
This paper investigates the generalisability of Koopman-based representations for chaotic dynamical systems, focusing on their transferability across prediction and control tasks.…
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
Aleksandar Todorov, Juan Cardenas-Cartagena, Rafael F. Cunha +2
Plasticity loss, a diminishing capacity to adapt as training progresses, is a critical challenge in deep reinforcement learning. We examine this issue in multi-task reinforcement l…
Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning
Massimiliano Falzari, Matthia Sabatelli
Deep Reinforcement Learning (DRL) systems often tend to overfit to early experiences, a phenomenon known as the primacy bias (PB). This bias can severely hinder learning efficiency…
Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting
Josh Bruegger, Diana Ioana Catana, Vanja Macovaz +3
The attribution of the author of an art piece is typically a laborious manual process, usually relying on subjective evaluations of expert figures. However, there are some situatio…