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researcher

D. Roijers

41 papers hereh-index 293.9k citations131 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author32
  • last author7

Across the 39 of 41 papers where every author was matched, so the position is known.

fields
  • cs.LG18
  • cs.AI13
  • cs.GT4
  • cs.MA3
  • cs.NE2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedMulti-Objective Deep Reinforcement Learning

93 citations · 153 across the 25 of their papers we have counts for

collaborators
Showing cs.GTShow all

4 papers · 1 filter

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…

cs.GT2020

A utility-based analysis of equilibria in multi-objective normal form games

Roxana Rădulescu, Patrick Mannion, Yijie Zhang +2

In multi-objective multi-agent systems (MOMAS), agents explicitly consider the possible tradeoffs between conflicting objective functions. We argue that compromises between competi…

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