Summary of Maximally Permissive Reward Machines, by Giovanni Varricchione et al.
Maximally Permissive Reward Machinesby Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Brian LoganFirst submitted to arxiv…
Maximally Permissive Reward Machinesby Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Brian LoganFirst submitted to arxiv…
COTODE: COntinuous Trajectory neural Ordinary Differential Equations for modelling event sequencesby Ilya Kuleshov, Galina Boeva,…
Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in…
BINDy – Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carloby Max D. Champneys, Timothy…
Universality of Real Minimal Complexity Reservoirby Robert Simon Fong, Boyu Li, Peter TiňoFirst submitted to…
An Efficient Replay for Class-Incremental Learning with Pre-trained Modelsby Weimin Yin, Bin Chen adn Chunzhao…
Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Playersby Pragnya…
Adaptation of uncertainty-penalized Bayesian information criterion for parametric partial differential equation discoveryby Pongpisit Thanasutives, Ken-ichi…
Hearing Your Blood Sugar: Non-Invasive Glucose Measurement Through Simple Vocal Signals, Transforming any Speech into…
The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networksby Philipp Holl, Nils ThuereyFirst submitted…