6 citations · 21 across the 8 of their papers we have counts for
3 papers · 1 filter
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games
Roxana Rădulescu, Timothy Verstraeten, Yijie Zhang +3
Many real-world multi-agent interactions consider multiple distinct criteria, i.e. the payoffs are multi-objective in nature. However, the same multi-objective payoff vector may le…
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey
Roxana Rădulescu, Patrick Mannion, Diederik M. Roijers +1
The majority of multi-agent system (MAS) implementations aim to optimise agents' policies with respect to a single objective, despite the fact that many real-world problem domains…
Analysing Congestion Problems in Multi-agent Reinforcement Learning
Roxana Rădulescu, Peter Vrancx, Ann Nowé
Congestion problems are omnipresent in today's complex networks and represent a challenge in many research domains. In the context of Multi-agent Reinforcement Learning (MARL), app…