Wolfram Barfuss

According to our database, Wolfram Barfuss authored at least 12 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games.

Yuxin Geng, Wolfram Barfuss, Xingru Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AI for a Planet Under Pressure.

Victor Galaz, Maria Schewenius, Jonathan F. Donges, Ingo Fetzer, Erik Zhivkoplias, Wolfram Barfuss, Louis Delannoy, Lan Wang-Erlandsson, Maximilian Gelbrecht, Jobst Heitzig, Jonas Hentati-Sundberg, Christopher Kennedy, Nielja Knecht, Romi Lotcheris, Miguel Mahecha, Andrew Merrie, David Montero, Timon McPhearson, Ahmed Mustafa, Magnus Nyström, Drew Purves, Juan C. Rocha, Masahiro Ryo, Claudia van der Salm, Samuel T. Segun, Anna B. Stephenson, Elizabeth Tellman, Felipe Tobar, Alice Vadrot

CoRR, October, 2025

Multi-Agent Risks from Advanced AI.

Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Ramesh Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan

CoRR, February, 2025

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations.

David Goll, Jobst Heitzig, Wolfram Barfuss

CoRR, January, 2025

2024

Moderate confirmation bias enhances decision-making in groups of reinforcement-learning agents.

Clémence Bergerot, Wolfram Barfuss, Pawel Romanczuk

PLoS Comput. Biol., 2024

2022

Dynamical systems as a level of cognitive analysis of multi-agent learning.

Wolfram Barfuss

Neural Comput. Appl., 2022

Intrinsic fluctuations of reinforcement learning promote cooperation.

Wolfram Barfuss, Janusz M. Meylahn

CoRR, 2022

2021

Evolutionary Reinforcement Learning Dynamics with Irreducible Environmental Uncertainty.

Wolfram Barfuss, Richard P. Mann

CoRR, 2021

2020

Reinforcement Learning Dynamics in the Infinite Memory Limit.

Wolfram Barfuss

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Deep reinforcement learning in World-Earth system models to discover sustainable management strategies.

Felix M. Strnad, Wolfram Barfuss, Jonathan F. Donges, Jobst Heitzig

CoRR, 2019

2018

Deterministic limit of temporal difference reinforcement learning for stochastic games.

Wolfram Barfuss, Jonathan F. Donges, Jürgen Kurths

CoRR, 2018

2016

Parsimonious modeling with Information Filtering Networks.

Wolfram Barfuss, Guido Previde Massara, Tiziana di Matteo, Tomaso Aste

CoRR, 2016