ES

Elad Sharony

Ph.D. Student · Electrical and Computer Engineering · (RL)² Lab, Technion

eladsharony@campus.technion.ac.il esharony.me

Research Interests

My research focuses on reinforcement learning and large language model (LLM) agents. I am interested in how AI systems learn from interaction and feedback, reason and search efficiently, and generalize across domains, from robotics and control to software engineering.

Publications and Preprints

Make Every Expansion Count: Learning to Search Efficiently in LLM Code RepairUnder Review

Elad Sharony, Ido Greenberg, Jialin Song, Shie Mannor, Gal Chechik, Eli Meirom

VLM-Guided Experience ReplayUnder Review

Elad Sharony, Tom Jurgenson, Orr Krupnik, Dotan Di Castro, Shie Mannor

Learning Multiple Initial Solutions to Optimization ProblemsICRA'26

Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Peter Karkus

Research / Industry Experience

NVIDIA ResearchMay. 26 – Present

Research Internship

Bosch Center for Artificial Intelligence (BCAI)Apr. 24 – Oct. 24

Research Internship

  • Developed VLM-based trajectory embeddings for diversity-aware experience replay in robotic manipulation RL.
Intel CorporationApr. 21 – Jan. 23

Control Engineer

  • Designed and integrated a data-driven autotune pipeline for thermal controllers. Additionally, developed and deployed a pneumatic control system to ensure stable and reliable thermal contact.

Education

Technion — Israel Institute of TechnologyMar. 22 – Present (Expected 27)

Ph.D., Electrical and Computer Engineering (Direct Track)

  • Research: Integrating fast (System 1) and slow (System 2) thinking into RL and optimization for robotics and autonomy.
  • Advisor: Prof. Shie Mannor
  • GPA: 92.0
Technion — Israel Institute of TechnologyOct. 18 – Mar. 22 (Early Bird)

B.Sc., Mechanical Engineering

  • Thesis: Non-contact topographic sensing using vibration and machine learning to predict the distance between surfaces.
  • Advisors: Prof. Itzhak Bucher and Dr. Yoav Vered
  • GPA: 94.9 (Summa Cum Laude)

Teaching and Mentoring

Teaching Assistant
Control Theory, Control System Design, Control Systems 1
Project Supervision
Developing Robotic Knot-Tying Skills, Reinforcement Learning in Isaac Simulator

Honors & Awards

Reamim — Selective Program Supporting Outstanding Research-oriented StudentsOct' 18 – Mar' 22
President's List for Academic ExcellenceFall 21/22, Spring 20/21, Fall 20/21
Dean's List for Academic ExcellenceSpring 19/20, Fall 19/20, Spring 18/19

Services

Reviewer
CoRL'25, ICLR'26, ICML'26, NeurIPS'26
Technical Editor
"Reinforcement Learning: Foundations" — S. Mannor, Y. Mansour, A. Tamar (CUP, 2026)