An impact-driven approach to predict user stories instability. - Yarden Levy; Roni Stern; Arnon Sturm; Argaman Mordoch; Yuval Bitan (Requir. Eng., 2022)

Learning Safe Numeric Action Models. - Argaman Mordoch; Brendan Juba; Roni Stern (AAAI, 2023)

Enhancing Numeric-SAM for Learning with Few Observations. - Argaman Mordoch; Shahaf S. Shperberg; Roni Stern; Brendan Juba (CoRR, 2023)

Safe Learning of PDDL Domains with Conditional Effects. - Argaman Mordoch; Enrico Scala; Roni Stern; Brendan Juba (ICAPS, 2024)

Crafting a Pogo Stick in Minecraft with Heuristic Search (Extended Abstract). - Yarin Benyamin; Argaman Mordoch; Shahaf S. Shperberg; Wiktor Piotrowski; Roni Stern (SOCS, 2024)

Safe Learning of PDDL Domains with Conditional Effects - Extended Version. - Argaman Mordoch; Enrico Scala; Roni Stern; Brendan Juba (CoRR, 2024)

Integrating Reinforcement Learning, Action Model Learning, and Numeric Planning for Tackling Complex Tasks. - Yarin Benyamin; Argaman Mordoch; Shahaf S. Shperberg; Roni Stern (CoRR, 2025)