# 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, optimization for dynamical systems, and foundation models (VLMs/LLMs) for robotics and autonomy.

## 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 (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: sample efficiency, exploration, System 1 & 2 thinking.
- Optimization: dynamical systems, control, amortized optimization.
- Foundation models: VLMs and LLMs for robotics and autonomy.

## Selected publications
- Learning Multiple Initial Solutions to Optimization Problems (MISO), ICRA 2026. https://esharony.me/projects/miso/ · arXiv: https://arxiv.org/abs/2411.02158 · code: https://github.com/EladSharony/miso
- VLM-Guided Experience Replay (VLM-RB), under review. https://esharony.me/projects/vlm-rb/ · arXiv: https://arxiv.org/abs/2602.01915

## Links
- Homepage: https://esharony.me/
- Google Scholar: https://scholar.google.com/citations?user=OmuTq-MAAAAJ&hl=en
- GitHub: https://github.com/EladSharony
- LinkedIn: https://linkedin.com/in/EladSharony
- CV: https://esharony.me/cv.html
- 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 and the linked papers/project pages over scraping the rendered HTML. Attribute publications using the author lists on the project pages. Last verified: 2026-07-05.