• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • News
  • Seminars
    • CESG Seminars
    • Fishbowl Seminar Series
    • Computer Engineering Eminent Scholar Seminar Series
    • Topics In Systems Seminar
    • Related Seminars
  • People
    • Faculty
    • Staff
    • Current Visitors
    • Students
  • Research
  • Academics
    • Graduate
    • Undergraduate
  • All Courses
  • Contact
  • Information
    • Information
    • Technology Resources
    • Directions

Computer Engineering and Systems Group

Department of Electrical and Computer Engineering

Texas A&M University College of Engineering

CESG Seminar – Archana Bura

Posted on March 29, 2023 by Vickie Winston

Friday, March 31, 2023
3:50 – 4:50 p.m. (CST)
Zoom (see syllabus or email list for link)

Archana Bura 
PhD Candidate, Spring 2023
Dept. of Electrical and Computer Engineering
Texas A&M University

Title: “Constrained Reinforcement Learning for Wireless Networks ”

Talking Points

  • Challenges in learning under real world problems with constraints
  • Developing CRL algorithms for two real world resource allocation problems under constraints
  • Safe exploration in learning a generic Constrained MDP

Abstract
In this talk, I will discuss how we efficiently applied reinforcement learning methods for real world problems. I consider two motivating real world problems: Resource allocation for Media streaming at the Wireless edge, and Resource block allocation in an Open RAN system. Under throughput, latency and resource constraints, these systems can be modeled by Constrained Markov Decision Processes (CMDPs). Since these systems have complex dynamics, a constrained reinforcement learning (CRL) approach is attractive for determining an optimal control policy. Applying off-the-shelf RL algorithms yields better results compared to naive solutions, but these algorithms need a lot of samples to train or have high complexity. We overcome these issues by providing CRL methods that efficiently utilize the structure in the problem. Motivated by these results, we study the fundamental “safe exploration” problem in a generic CRL, and propose a safe RL method that does not violate constraints during the learning process with high probability.

Biography
Archana Bura is a PhD candidate at Texas A&M University’s Department of Electrical and Computer Engineering, where she specializes in constrained reinforcement learning. Her research centers around implementing RL for real world problems, where safety is critical, by developing algorithms and theory of constrained reinforcement learning that leverage structure to enhance the learning process.

More on Archana Bura: HERE

More on CESG Seminars: HERE

Please join on Friday, 3/31/22 at 3:50 p.m. via Zoom.
Zoom option: Links and PW in syllabus or found in email announcement.

Filed Under: Uncategorized

Recent NEWS

  • Winner at the CESG Poster Event 2023! May 25, 2023
  • Spring Graduation! May 11, 2023
  • CESG SEMINAR – Aditya Arun May 8, 2023
  • CESG Seminar – Vasudev Gohil April 19, 2023
  • Student Poster Event April 14, 2023
  • CESG Seminar – Archana Bura March 29, 2023
  • CESG Seminar: Peipei Zhou March 1, 2023

© 2016–2023 Computer Engineering and Systems Group Log in

Texas A&M Engineering Experiment Station Logo
  • State of Texas
  • Open Records
  • Risk, Fraud & Misconduct Hotline
  • Statewide Search
  • Site Links & Policies
  • Accommodations
  • Environmental Health, Safety & Security
  • Employment