LARK Lab Launches Reinforcement Learning Seminar!

We are excited to announce the launch of our Reinforcement Learning (RL) Seminar, a biweekly reading and discussion series focused on foundational RL concepts and applications.

With several ongoing RL-related projects in our lab and a growing need for structured training among our trainees, we are introducing this seminar-style reading club to foster a deeper understanding of RL principles.

Who Can Join? This seminar is open to anyone interested in reinforcement learning, whether you’re a beginner or already working on RL research. No prior experience is required—just curiosity and enthusiasm! Note that we are currently limiting to trainees, staffs and faculty in CU Anschutz.

Seminar Details

📅 Start Date: March 18, 2025

📖 Format: Reading + discussion. We will cover the Sutton & Barto textbook, and some LLM relevant readings (see the full schedule here)

📍 Where: LARK Lab & Virtual Option Available (AHSB, Room TBD)

We welcome participants from within and outside the lab! Fellow PIs, feel free to share this with anyone who might be interested.

If you’re interested in joining, please sign up here (don’t forget to indicate your email). We look forward to insightful discussions and collaborative learning! 🚀

Yanjun Gao
Yanjun Gao
Assistant Professor

My research interests include Natural Language Generation, Semantic Representation, Summarization Evaluation, Graph-based NLP, and AI applications in medicine and education.