# TOP Quark

**One-liner**  
A transient-strategy RL model that activates optimal behavior without continuous learning.

## Why it matters

Not all intelligence is persistent. TOP demonstrates short-lived optimality emerging without gradient accumulation.

## Core idea

* Environment: Narrow optimal windows
* Signal: Energy threshold crossings
* Mechanism: Event-driven activation
* Outcome: Momentary optimal action

## What makes it different

* No steady training loop
* Appears and disappears
* Event-triggered intelligence

## Status

Experimental research prototype.