7 citations · 21 across the 6 of their papers we have counts for
3 papers · 1 filter
Exploring the Impact of Tunable Agents in Sequential Social Dilemmas
David O'Callaghan, Patrick Mannion
When developing reinforcement learning agents, the standard approach is to train an agent to converge to a fixed policy that is as close to optimal as possible for a single fixed r…
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…