From the 1 of 7 linked papers with an AI index.
7 papers
Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details
Maksymilian Wolski, Nicholas Hoernle, Johannes Forkel +1
AI agents deployed in real-world settings must be capable of coordinating with humans and other AI agents they have not encountered before. Zero-shot coordination (ZSC) algorithms…
Fully Offline Reinforcement Learning
Mattie Fellows, Clarisse Wibault, Uljad Berdica +3
The paper proposes fully offline reinforcement learning methods that use Bayesian model-based techniques to learn dynamics and evaluate policies without any online interaction, ena…
Evolving Many Worlds: Towards Open-Ended Discovery in Petri Dish NCA via Population-Based Training
Uljad Berdica, Jakob Foerster, Frank Hutter +1
The generation of sustained, open-ended complexity from local interactions remains a fundamental challenge in artificial life. Differentiable multi-agent systems, such as Petri Dis…
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…
High entropy leads to symmetry-equivariant policies in Dec-POMDPs
Johannes Forkel, Constantin Ruhdorfer, Michael Beukman +2
We prove that in any Dec-POMDP, sufficiently high entropy regularization ensures that the policy gradient flow with tabular softmax parametrization always converges, for any initia…
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…