5 papers
Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making
Andreas Kouridakis, Dimitrios Patiniotis Spyropoulos, George Vouros
The use of Large Language Models (LLMs) across diverse areas of human activity-ranging from everyday tasks to safety-critical applications-aims to enhance decision-making effective…
Learning to maintain safety through expert demonstrations in settings with unknown constraints: A Q-learning perspective
George Papadopoulos, George A. Vouros
Given a set of trajectories demonstrating the execution of a task safely in a constrained MDP with observable rewards but with unknown constraints and non-observable costs, we aim…
An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks
George Papadopoulos, Andreas Kontogiannis, Foteini Papadopoulou +3
Multi-Agent Reinforcement Learning (MARL) has recently emerged as a significant area of research. However, MARL evaluation often lacks systematic diversity, hindering a comprehensi…
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
Andreas Kontogiannis, Konstantinos Papathanasiou, Yi Shen +3
Learning to cooperate in distributed partially observable environments with no communication abilities poses significant challenges for multi-agent deep reinforcement learning (MAR…
Ranking Joint Policies in Dynamic Games using Evolutionary Dynamics
Natalia Koliou, George Vouros
Game-theoretic solution concepts, such as the Nash equilibrium, have been key to finding stable joint actions in multi-player games. However, it has been shown that the dynamics of…