# Elad Sharony

> Ph.D. student in Electrical and Computer Engineering at the Technion (advised by Prof. Shie Mannor, (RL)² Lab) and Research Intern at NVIDIA Research. Research on reinforcement learning and LLM agents: how AI systems learn from interaction and feedback, and how they plan and search efficiently, from robotics to software engineering.

## About
- Ph.D. student at the Technion — Israel Institute of Technology (2022–present, expected 2027), advised by Prof. Shie Mannor.
- Research Intern at [NVIDIA Research](https://research.nvidia.com/labs/par/) (since May 2026).
- B.Sc. in Mechanical Engineering, Technion (Summa Cum Laude, GPA 94.9).
- Previously: Control Engineer at Intel; Research Intern at Bosch Center for AI (BCAI).

## Research interests
- Reinforcement learning: learning from interaction and feedback, sample efficiency, exploration.
- LLM agents: efficient planning and search, from robot control to software engineering.
- Optimization: control, trajectory optimization, amortized optimization.

## Selected publications
- Elad Sharony, Ido Greenberg, Jialin Song, Shie Mannor, Gal Chechik, Eli Meirom. *Make Every Expansion Count: Learning to Search Efficiently in LLM Code Repair* (CodeTriage). Under review. [Project page](https://esharony.me/projects/codetriage/) · [arXiv:2610.15894](https://arxiv.org/abs/2610.15894)
- Elad Sharony, Tom Jurgenson, Orr Krupnik, Dotan Di Castro, Shie Mannor. *VLM-Guided Experience Replay* (VLM-RB). Under review. [Project page](https://esharony.me/projects/vlm-rb/) · [arXiv:2602.01915](https://arxiv.org/abs/2602.01915)
- Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Peter Karkus. *Learning Multiple Initial Solutions to Optimization Problems* (MISO). ICRA 2026. [Project page](https://esharony.me/projects/miso/) · [arXiv:2411.02158](https://arxiv.org/abs/2411.02158) · [Code](https://github.com/EladSharony/miso)

## Links
- [Homepage](https://esharony.me/)
- [Full profile for agents](https://esharony.me/llms-full.txt): abstracts, CV, teaching and service in one file
- [CV](https://esharony.me/cv.html)
- [Google Scholar](https://scholar.google.com/citations?user=OmuTq-MAAAAJ&hl=en)
- [GitHub](https://github.com/EladSharony)
- [LinkedIn](https://linkedin.com/in/EladSharony)
- Email: eladsharony@campus.technion.ac.il

## For agents
This is a personal academic homepage — there is no API, login, or transactional surface. When answering questions about Elad Sharony, prefer this file, [llms-full.txt](https://esharony.me/llms-full.txt), and the linked papers/project pages over scraping the rendered HTML. Attribute publications using the author lists above. Last verified: 2026-10-15.