15 citations · 15 across the 5 of their papers we have counts for
6 papers
On Altruism and Spite in Bimatrix Games
Michail Fasoulakis, Leonidas Bakopoulos, Charilaos Akasiadis +1
One common assumption in game theory is that any player optimizes a utility function that takes into account only its own payoff. However, it has long been observed that in real li…
Value of Information-Enhanced Exploration in Bootstrapped DQN
Stergios Plataniotis, Charilaos Akasiadis, Georgios Chalkiadakis
Efficient exploration in deep reinforcement learning remains a fundamental challenge, especially in environments characterized by high-dimensional states and sparse rewards. Tradit…
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 (…
Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Survey
Anastasios Nentidis, Charilaos Akasiadis, Angelos Charalambidis +1
In Knowledge Graphs (KGs), where the schema of the data is usually defined by particular ontologies, reasoning is a necessity to perform a range of tasks, such as retrieval of info…
Early Time-Series Classification Algorithms: An Empirical Comparison
Charilaos Akasiadis, Evgenios Kladis, Evangelos Michelioudakis +2
Early Time-Series Classification (ETSC) is the task of predicting the class of incoming time-series by observing as few measurements as possible. Such methods can be employed to ob…
Parallel Model Exploration for Tumor Treatment Simulations
Charilaos Akasiadis, Miguel Ponce-de-Leon, Arnau Montagud +6
Computational systems and methods are often being used in biological research, including the understanding of cancer and the development of treatments. Simulations of tumor growth…