Eyal Weiss

PhD student

Computer Science Department, Bar-Ilan University

eyal.weiss@biu.ac.il

Building 503 Room 317, Bar Ilan University, Ramat Gan 5290002, Israel

Welcome to my humble digital space 

I am a PhD student working under the supervision of Prof. Gal A. Kaminka, affiliated with the MAVERICK research group, in the CS department at BIU. My current research is devoted to generalizing automated planning with dynamically estimated action models, where we combine tools from AI planning, graph theory and combinatorial optimization, to endow agents with enhanced planning capabilities in challenging (non-classical) setups. Check out our recent papers for a deeper view on the topic:

Tightest Admissible Shortest Path (ICAPS, 2024)

A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates (ECAI, 2023)

Planning with Multiple Action-Cost Estimates (ICAPS, 2023)

Position Paper: Online Modeling for Offline Planning (RDDPS Workshop, 2022)


Previously, I earned my BSc and MSc in Electrical Engineering at Tel Aviv University, where I was fortunate to work with Prof. Michael Margaliot, in the EE school at TAU, on problems in the fields of control theory and dynamical systems.

My complete CV can be found here.


How to find me on The Web:

Recent and upcoming talks:

Software:

To put our algorithms to test we implemented PlanDEM, a domain-independent planner that works with dynamically estimated action models. This is an active open source project, that gets major updates once every few months. Contact me for questions or requests.

Research  Results:

I am a strong proponent of open access research. In my opinion, scientists should make every effort to make their research openly available online, to facilitate rapid and easy exchange of ideas, especially when the research is conducted in publicly funded institutes. For this reason, all my articles are either available through open access publication platforms, such as AAAI Publications, or when officially published in closed access platforms, open access is possible through arXiv. All versions are accessible through my Google Scholar page.

Current Funding:

I sincerely appreciate the financial support that allows me to concentrate on my research.