Publications in Google Scholar and DBLP.

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Action-Gradient Monte Carlo Tree Search for Non-Parametric Continuous (PO)MDPs

Idan Lev-Yehudi, Michael Novitsky, Moran Barenboim, Ron Benchetrit, Vadim Indelman

Accepted to the 35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026)

Online MDP & POMDP planning using gradient-enhanced MCTS with consistent value estimates.

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Online Robust Planning under Model Uncertainty: A Sample-Based Approach

Tamir Shazman, Idan Lev-Yehudi, Ron Benchetrit, Vadim Indelman

Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 43. 2026. (AAAI-26)

Planning algorithm for Robust MDPs with finite-time approximation bounds in large/infinite state spaces.

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Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice

Idan Lev-Yehudi, Moran Barenboim, and Vadim Indelman

Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 18. 2024. (AAAI-24)

Online-computable probabilistic bounds for POMDP planning with alternative observation models.

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Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees

Moran Barenboim, Idan Lev-Yehudi, and Vadim Indelman

IEEE Robotics and Automation Letters 8.10. (RA-L 2023)

Dynamic pruning of data association hypotheses in POMDP planning based on deterministic value loss guarantees.

Preprints

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Graph Sparse Sampling: Breaking the Curse of the Horizon in Continuous MDP Planning

Idan Lev-Yehudi, Vadim Indelman

arXiv preprint, 2026.

MDP planning via graph shared samples leads to a GPU-friendly planner with finite-sample guarantees.

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Anytime Incremental $\rho$POMDP Planning in Continuous Spaces

Ron Benchetrit, Idan Lev-Yehudi, Andrey Zhitnikov, Vadim Indelman

arXiv preprint, 2025.

Practical incremental POMDP planner for entropy and information objectives.