Add author attribution

README.md

@@ -11,9 +11,11 @@ short_description: RL neural net learns a platformer in real time
 
 # Neuron Runner
 
-A browser-based reinforcement learning demo where a neural network learns to play a 2D platformer (Mario-style) in real time.
+**By [cahlen](https://huggingface.co/cahlen)** | [GitHub](https://github.com/cahlen/neuron-runner)
 
-- **MLP mode** — classic two-layer perceptron policy
-- **CoFrNet mode** — continued-fraction network (exotic architecture from the paper)
-- **REINFORCE** policy-gradient training, running live in-browser via TensorFlow.js (WebGPU / CPU)
-- Real-time neural activation visualizations powered by Three.js
+A neural network learns to play a 2D platformer in real time, entirely in the browser.
+
+- **CoFrNet** (default) — continued-fraction network ([Puri et al., NeurIPS 2021](https://arxiv.org/html/2506.05586)): parallel ladders of nested fractions with a dedicated ladder-rung visualization and feature-attribution panel
+- **MLP** — classic two-layer perceptron with live node-and-edge activation visualization
+- **REINFORCE** policy-gradient training, running live via TensorFlow.js (WebGPU / CPU)
+- Three.js Mario-themed game renderer