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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.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T17:53:11.043Z. Cached copy · Source on esharony.me
# 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.
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