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Emergence of Social Norms in Large Language Model-based Agent Societies
The emergence of social norms has attracted much interest in a wide array of disciplines, ranging from social science and cognitive science to artificial intelligence.
Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas
Third, we review the emergent field of leveraging AI agents to enhance cooperation among humans.
Individual-Level Inverse Reinforcement Learning for Mean Field Games
This limitation invalidates existing IRL methods on MFGs with non-cooperative environments.
The Evolutionary Dynamics of Independent Learning Agents in Population Games
Understanding the evolutionary dynamics of reinforcement learning under multi-agent settings has long remained an open problem.
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
Modelling the dynamics of multi-agent learning has long been an important research topic, but all of the previous works focus on 2-agent settings and mostly use evolutionary game theoretic approaches.
