AscensionAI

Project Documentation

Start here for the architecture, experiments, technical writeup, demo assets, portfolio framing, and public dashboard behind AscensionAI.

Core Docs

Architecture

Distributed trainer/worker topology, checkpoint sync, stale rollout rejection, failure handling, and scaling points.

Read architecture doc

Technical Writeup

Implementation detail on observations, actions, reward shaping, behavior cloning, PPO, parallel training, and limitations.

Read technical writeup

Experiment Reports

BC baseline, parallel PPO, and fixed-seed evaluation reports backed by the public experiment registry.

Open experiments

Scripts Reference

Plain-English guide to each training, evaluation, environment, plotting, and logging script.

Read script guide

Dashboard

Static results viewer with embedded public metrics and support for loading local CSV files.

Open dashboard

Portfolio and Resume Framing

Recruiter-facing summary, public demo assets, and resume-ready bullets.

Open portfolio page