Reinforcement Learning with Markov Decision Processes
Details
Welcome to our next Python Meetup! Whether you're a seasoned developer or just beginning your Python journey, this event is designed to help you dive deeper into the language, meet fellow enthusiasts, and share insights. We’ve lined up an exciting main technical talk that will showcase innovative ideas in Python, followed by lightning talks where community members present quick, interesting projects or tips. It’s a great opportunity to learn, network, and collaborate.
Feel free to grab some refreshments, get comfortable, and get ready for an engaging evening of Python!
Date: 21 April, 2026
Time: 6pm-8pm
Location: Improving, 10111 Richmond Ave. # 100, Houston, TX 77042
### Welcome and Networking
- Time: 6:00 PM – 6:30 PM
- Description: Attendees check in, grab refreshments, and network with fellow Python enthusiasts.
### Opening Remarks
- Time: 6:30 PM – 6:40 PM
- Speaker: Dillon Niederhut
- Description: Brief introduction to the event, agenda rundown, and announcements.
### Main Technical Talk
- Time: 6:40 PM – 7:20 PM
- Title: Reinforcement Learning with Markov Decision Processes
- Speaker: Nazia Habib
- Description: Reinforcement learning is a type of machine learning focused on automated decision-making. It relies on Markov decision processes, which are mathematical optimization processes for sequential decision-making under uncertainty. Problems are framed using actions, decisions, and rewards to define the behavior of automated processes called agents. As an example application, a type of learning called RLHF (reinforcement learning from human feedback) is used to align AI systems with human preferences and guide AI policy.
- Bio: Nazia Habib is a data scientist working in the oil and gas industry specializing in machine learning, state detection, and pattern recognition algorithm design. She works in the engineering controls and drilling automation space, solving problems in power management, directional drilling, and equipment lifecycle management. She studied computer science at UCLA.
### Lightning Talks
- Time: 7:30 PM – 8:00 PM
- Description: 5-minute talks on various Python-related topics. Lightning talks are meant to be quick and informal, showcasing small projects, tools, or quick tips. Lightning talk sign-ups are at the event!
- Format: Each speaker has 4 minutes to present, followed by 1 minute for questions.
