Agentic AI Reference Architecture

Model Adaptation · Software component

Independent Multi-Agent Learner

Software componentModel AdaptationModelsarc:IndependentMultiAgentLearner

A multi-agent policy learner in which each agent runs its own single-agent RL algorithm, treating other agents as part of the environment.

Responsibility. Trains each agent's policy independently without coordination.

Also known as: Independent learners

Variant of Multi-Agent Policy Learner abstract

When to choose. Choose when agents interact loosely so the environment appears approximately stationary to each agent.

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Direct neighbourhood (hover for relationship types)

Relationships

invokes dependency

alternative to variability

Design guidance

Classification

Quality attributes
Performance efficiency (ISO/IEC 25010)Maintainability (ISO/IEC 25010)

Sources

  1. Ch5.12: T. Nguyen, "Learning-Based Decision Making Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.12. ISBN: 9798244538229.