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20212026
most citedMOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning

1 citations · 1 across the 7 of their papers we have counts for

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7 papers

cs.AI2026

Preference Guided Iterated Pareto Referent Optimisation for Accessible Route Planning

Paolo Speziali, Arno De Greef, Mehrdad Asadi +3

We propose the Preference Guided Iterated Pareto Referent Optimisation (PG-IPRO) for urban route planning for people with different accessibility requirements and preferences. With…

cs.LG2026

DéjàQ: Open-Ended Evolution of Diverse, Learnable and Verifiable Problems

Willem Röpke, Samuel Coward, Andrei Lupu +3

Recent advances in reasoning models have yielded impressive results in mathematics and coding. However, most approaches rely on static datasets, which have been suggested to encour…

cs.MA2024★ 1 cited

MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning

Florian Felten, Umut Ucak, Hicham Azmani +10

Many challenging tasks such as managing traffic systems, electricity grids, or supply chains involve complex decision-making processes that must balance multiple conflicting object…

cs.LG2024

Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning

Peter Vamplew, Cameron Foale, Conor F. Hayes +9

Research in multi-objective reinforcement learning (MORL) has introduced the utility-based paradigm, which makes use of both environmental rewards and a function that defines the u…

cs.GT2023

Bridging the Gap Between Single and Multi Objective Games

Willem Röpke, Carla Groenland, Roxana Rădulescu +2

A classic model to study strategic decision making in multi-agent systems is the normal-form game. This model can be generalised to allow for an infinite number of pure strategies…

cs.GT2021

On Nash Equilibria in Normal-Form Games With Vectorial Payoffs

Willem Röpke, Diederik M. Roijers, Ann Nowé +1

We provide an in-depth study of Nash equilibria in multi-objective normal form games (MONFGs), i.e., normal form games with vectorial payoffs. Taking a utility-based approach, we a…

cs.GT2021

Preference Communication in Multi-Objective Normal-Form Games

Willem Röpke, Diederik M. Roijers, Ann Nowé +1

We consider preference communication in two-player multi-objective normal-form games. In such games, the payoffs resulting from joint actions are vector-valued. Taking a utility-ba…