Lior Siag
Bidirectional heuristic search
Students and alumni
Group
I advise Ph.D. and M.Sc. students at Ben-Gurion University, several jointly with colleagues, on topics spanning heuristic and multi-agent search, planning and model learning, reinforcement learning, and LLM-based systems. Code from our projects is on GitHub.
Doctoral students
Ph.D.
Daniel Koyfman
Different settings and constraints for heuristic search
Bar Siman Tov
Scalable learning in heuristic search
Yarin Benyamin
Bridging the gap between AI planning and reinforcement learning
Tzur Shubi
Heuristic search for maximization problems: bidirectional, adaptive, and multi-directional approaches
Master's students
M.Sc.
Nadav Cherry
Enhancing continuous-action Monte-Carlo tree search through state-dependent action discretization learning
Shira Wild
Improving the safety of autonomous vehicles using generative adversarial networks
Roee Hersco
Learning-based tree search for classical planning
Itamar Barami
Multi-agent task allocation for communication-less heterogeneous agents operating under uncertainty
Lidor Erez
Hierarchical RL for robotic constrained trajectory planning
Raz Schmueli
Safe multi-agent reinforcement learning
Oriya Sheetrit
Game-theory-based multi-agent reinforcement learning
Liat Vizman
Disentangled latent representations for explainable reinforcement learning
Dorri Caspi
LLMs as a search problem
Alumni
Graduated students
-
2025
Gal Hadar
M.Sc.
Safety knowledge sharing among heterogeneous reinforcement learning agents -
2025
Natalie Morad
M.Sc.
Advances in bounded-suboptimal bidirectional heuristic search · with Ariel Felner -
2024
Yarin Benyamin
M.Sc.
Solving Minecraft by learning symbolic planning models · with Roni Stern -
2023
Daniel Koyfman
M.Sc.
Different settings and constraints for heuristic search · with Ariel Felner -
2022
Steven Danishevski
M.Sc.
Optimal bidirectional heuristic search algorithms with restricted memory · with Ariel Felner -
2021
Hadar Buzhish
M.Sc.
The closed list is an obstacle too · with Ariel Felner
Joining
I am glad to hear from students who want to work on any of these directions: heuristic and multi-agent search, planning and metareasoning, learning models or heuristics, reinforcement learning, or LLM-based systems. Write to shperbsh@bgu.ac.il with a short description of what interests you, your CV, and your transcript.