Glossary

Controller: A skill agent that makes decisions based on programmed algorithms. Also called a programmed skill agent.

Decisions: The outputs of a Composabl system - its instructions for controlling the system

Design patterns: Common structures that can be used to quickly create multi-agent systems

Episode: An entire run through the task

Functional Pattern: A machine teaching design pattern used to orchestrate skills in sequences

Iteration: One decision during agent training or performance

Learned skill agent: A skill agent that uses DRL to make decisions and learn by practicing in simulation

Orchestration: Arranging agents as modular building blocks to work together to complete tasks

Orchestrator: A special type of skill agent that assigns decision-making control to the right decision-making skill agent based on current conditions

Perceptor: An ML model or other algorithm that interprets sensor data

Plan-Execute Pattern: A machine teaching design pattern used to orchestrate skill agents in pairs that work together to make decisions

Programmed skill agent: A skill agents that makes decisions based on programmed algorithms. Also called controllers.

Project: A collection of agents for the same use case that share the same simulator and top-level goal

Scenarios: Conditions that are associated with specific skills

Sensors: The part of the system that takes in information from the simulator or real environment - the eyes, ears, and other senses of the system

Simulator: The virtual environment where agents practice and improve performance

Skill agents: Modules within a multi-agent system that make decisions to complete all or part of a task

Strategy Pattern: A machine teaching design pattern used to orchestrate skill agents in hierarchies

Teacher: An algorithm that creates a skill agent that uses DRL to learn to make decisions