Multi-Agent Empowerment and Emergence of Complex Behavior in Groups
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Abstract (arXiv)
Intrinsic motivations are receiving increasing attention, i.e. behavioral incentives that are not engineered, but emerge from the interaction of an agent with its surroundings. In this work we study the emergence of behaviors driven by one such incentive, empowerment, specifically in the context of more than one agent. We formulate a principled extension of empowerment to the multi-agent setting, and demonstrate its efficient calculation. We observe that this intrinsic motivation gives rise to characteristic modes of group-organization in two qualitatively distinct environments: a pair of agents coupled by a tendon, and a controllable Vicsek flock. This demonstrates the potential of intrinsic motivations such as empowerment to not just drive behavior for only individual agents but also higher levels of behavioral organization at scale.
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References · 13
- 2016Concrete Problems in AI Safetycited by 1,582
- 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 752
- 2018Diversity is All You Need: Learning Skills without a Reward Functioncited by 734
- 2025Multi-Agent Collaboration Mechanisms: A Survey of LLMscited by 424
- 2019Dynamics-Aware Unsupervised Discovery of Skillscited by 308
- 2016Variational Intrinsic Controlcited by 262
- 2021URLB: Unsupervised Reinforcement Learning Benchmarkcited by 138
- 2013Empowerment -- an Introductioncited by 65
- 2020Avoiding Side Effects By Considering Future Taskscited by 32
- 2024Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learningcited by 18
- 2019Intrinsically motivated collective motioncited by 7
- 2022Intrinsic Motivation in Dynamical Control Systemscited by 7
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