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cs.AI2026
A Novel Framework for Uncertainty-Driven Adaptive Exploration
Leonidas Bakopoulos, Georgios Chalkiadakis
Adaptive exploration methods propose ways to learn complex policies via alternating between exploration and exploitation. An important question for such methods is to determine the…
cs.AI2026
Graph Neural Networks, Deep Reinforcement Learning and Probabilistic Topic Modeling for Strategic Multiagent Settings
Georgios Chalkiadakis, Charilaos Akasiadis, Gerasimos Koresis +2
This paper provides a comprehensive review of mainly GNN, DRL, and PTM methods with a focus on their potential incorporation in strategic multiagent settings. We draw interest in (…