2 papers
cs.LG2026
Sample Efficient Hierarchical Reinforcement Learning via Best Policy Identification
Anders Jonsson, Emilie Kaufmann, Gianmarco Tedeschi +1
We present HBPI-UCRL, a model-based algorithm for hierarchical reinforcement learning (HRL) that learns high-level and low-level policies in parallel. HBPI-UCRL exploits the fact t…
cs.HC2025
Using Psychophysiological Insights to Evaluate the Impact of Loot Boxes on Arousal
Gianmarco Tedeschi, Rune Kristian Lundedal Nielsen, Paolo Burelli
This study investigates the psychophysiological effects of loot box interactions in video games and their potential similarities to those recorded during gambling interactions. Usi…