3 papers
cs.AI2026
Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning (Extended Version)
Pierriccardo Olivieri, Fausto Lasca, Alessandro Gianola +1
In this work, we propose a novel framework for the logical specification of non-Markovian rewards in Markov Decision Processes (MDPs) with large state spaces. Our approach leverage…
cs.IR2025
Balancing Benefits and Risks: RL Approaches for Addiction-Aware Social Media Recommenders
Luca Bolis, Stefano Livella, Sabrina Patania +3
Social media platforms provide valuable opportunities for users to gather information, interact with friends, and enjoy entertainment. However, their addictive potential poses sign…
cs.LG2024
Optimistic Information Directed Sampling
Gergely Neu, Matteo Papini, Ludovic Schwartz
We study the problem of online learning in contextual bandit problems where the loss function is assumed to belong to a known parametric function class. We propose a new analytic f…