Multi-Armed Bandit Agents
Exploring reinforcement learning through the classic multi-armed bandit problem.
About Me
Hello! I'm Scott, a passionate AI enthusiast with a keen interest in philosophy and technology. I aim to shape the future by making current events more accessible, fostering civic awareness, and promoting democratic discussions.
My expertise lies in natural language processing, machine learning, and prompt engineering. I'm continuously exploring new frontiers in AI to augment human potential and drive innovation.
Projects
The Speedy, Q-learning Crawler
Simulating a reinforcement learning environment for a robot crawler.
NER with Viterbi HMM
Using Hidden Markov Models for natural language entity recognition.
Knowledge Source Scrapers
Three complementary Python scrapers forming the raw-sources layer of an LLM knowledge pipeline for cognitive science.
Wikipedia Scraper
Bounded BFS crawl with canonical page keys, SQLite graph store, and a 6-point soup validator. 834 outlinks from a single seed article.
SEP Scraper
Stanford Encyclopedia of Philosophy: peer-reviewed concept backbone with hand-curated cross-references and a built-in query layer.
arXiv Scraper
Atom API metadata ingest with category-driven queries, PDF download, and text extraction across 35 CS subcategories.
Contact
Feel free to reach out via email or connect with me on social media.