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Opponent Shaping in LLM Agents

Published in arXiv Preprint, 2025

This paper extends opponent shaping to LLM-based agents. We investigate whether LLMs can influence co-players’ learning dynamics in game-theoretic settings, steering them toward exploitable outcomes in competitive games or improved cooperation in cooperative ones.

Recommended citation: Emili Garcia Segura, M., Hailes, S., Musolesi, M. (2025). "Opponent Shaping in LLM Agents." arXiv 2510.08255.
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!

Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.

Introduction to Machine Learning

Postgraduate course, Department of Computer Science, University College London (UCL), 2024

I am a PGTA for the Introduction to Machine Learning module (2024/2025 and 2025/2026). In this role, I lead computing lab sessions, support students with their implementations during Q&A sessions, and mark coursework assignments.

Generative Artificial Intelligence

Postgraduate course, Department of Computer Science, University College London (UCL), 2025

I will be a PGTA for the new Generative Artificial Intelligence module this year!