114 citations · 353 across the 89 of their papers we have counts for
3 papers · 1 filter
Modelling Opinion Dynamics at Scale with Deep MARL
Lukas Seier, Brandon Kaplowitz, Sebastian Towers +2
Modelling opinion dynamics typically relies on hand-crafted local interaction rules to study emergent macroscopic phenomena such as consensus and polarisation. In contrast, multi-a…
Expected Return Symmetries
Darius Muglich, Johannes Forkel, Elise van der Pol +1
Symmetry is an important inductive bias that can improve model robustness and generalization across many deep learning domains. In multi-agent settings, a priori known symmetries h…
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang +2
We introduce Nocturne, a new 2D driving simulator for investigating multi-agent coordination under partial observability. The focus of Nocturne is to enable research into inference…