Aarav Agarwal

CS + Math @ UIUC | Prev SWE Intern @ Garmin

Role
Software R & d Lead at Illini Vex Robotics
Location
Monmouth Junction, NJ, US
LinkedIn followers
500 followers

About Aarav Agarwal

I enjoy tackling problems that span the full tech stack, from optimizing low-level…

Experience

  1. Software R & d Lead

    Illini Vex Robotics

    Jan 2024 — Present

    Proposed GCARL, a novel reinforcement learning framework in JAX, to train the agent against real-world perturbations.It leverages contrastive Goal-Conditioned Reinforcement Learning (GCRL) and the use of an adversarial agent that picks out the strategically worst action to reach the goal from the current state. With a combined net action from the protagonist and adversarial inputs, the primary agent learns to handle unexpected deviations.Preliminary testing highlighted a 20% increase in success rate from GCRL, and only a 1-2% drop in noisy environments. Currently working on improvements in noise handling, damping factors, and the overall architecture of GCARL. Previously worked on a real-time ball tracker and trajectory predictor using OpenCV and Kalman Filters, achieving sub-5% positional error in object tracking at high speeds.

Education

  • Middlesex County Vocational Academy Math Science &Engineering Techn

    High School Diploma

    2019 — 2023

  • University of Illinois Urbana-Champaign

    Bachelor's degree

    2023 — 2026

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Aarav Agarwal — Software R & d Lead at Illini Vex Robotics in Monmouth Junction, NJ, US | Unifers