Marcin Korecki

According to our database, Marcin Korecki authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Overcoming the Price of Anarchy by Steering with Recommendations.

Cesare Carissimo, Marcin Korecki, Damian Dailisan

Neurocomputing, 2025

2024

The Man Behind the Curtain: Appropriating Fairness in AI.

Marcin Korecki, Guillaume Köstner, Emanuele Martinelli, Cesare Carissimo

Minds Mach., February, 2024

Limits of Optimization.

Cesare Carissimo, Marcin Korecki

Minds Mach., February, 2024

Capital as Artificial Intelligence.

Cesare Carissimo, Marcin Korecki

CoRR, 2024

LLM Voting: Human Choices and AI Collective Decision Making.

Joshua Chu-Yue Yang, Marcin Korecki, Damian Dailisan, Carina I. Hausladen, Dirk Helbing

CoRR, 2024

Biospheric AI.

Marcin Korecki

CoRR, 2024

LLM Voting: Human Choices and AI Collective Decision-Making.

Joshua C. Yang, Damian Dailisan, Marcin Korecki, Carina I. Hausladen, Dirk Helbing

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

Deep Reinforcement Meta-Learning and Self-Organization in Complex Systems: Applications to Traffic Signal Control.

Marcin Korecki

Entropy, July, 2023

Machine Learning in Complex Systems: The Case of Traffic Signal Control.

Marcin Korecki

PhD thesis, 2023

Democracy by Design: Perspectives for Digitally Assisted, Participatory Upgrades of Society.

Dirk Helbing, Sachit Mahajan, Regula Hänggli Fricker, Andrea Musso, Carina I. Hausladen, Cesare Carissimo, Dino Carpentras, Elisabeth Stockinger, Javier Argota Sánchez-Vaquerizo, Joshua Chu-Yue Yang, Mark C. Ballandies, Marcin Korecki, Rohit Kumar Dubey, Evangelos Pournaras

J. Comput. Sci., 2023

Dynamic value alignment through preference aggregation of multiple objectives.

Marcin Korecki, Damian Dailisan, Cesare Carissimo

CoRR, 2023

How Well Do Reinforcement Learning Approaches Cope With Disruptions? The Case of Traffic Signal Control.

Marcin Korecki, Damian Dailisan, Dirk Helbing

IEEE Access, 2023

2022

Analytically Guided Reinforcement Learning for Green It and Fluent Traffic.

Marcin Korecki, Dirk Helbing

IEEE Access, 2022

2020

Balancing Selfishness and Efficiency in Mobile Ad-hoc Networks: An Agent-based Simulation.

Marcin Korecki, Malvin Gattinger, Rineke Verbrugge

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020