Article

Behavioural Transparency in Multi-Agent RL: Strategic Decoupling and the Economic Optimisation of Tactical Shocks

2026-03-24

Abstract excerpt

<title>Abstract</title> <p>A primary challenge in deploying multi-agent reinforcement learning (RL) systems is the opacity of their emergent strategies, necessitating frameworks that render complex agentic behaviour interpretable. When RL agents interact with high-dimensional environments, they often execute decisions that appear erratic or "alien" to human observers. Behavioural economic theory suggests this per...

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Literature Corpus work: e4133019-613a-5673-adce-ba3c5e76ff69
DOI: 10.21203/rs.3.rs-9183247/v1

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