Publications in Google Scholar and DBLP.

  • 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.
    Paper Extended Version Code Video Poster
  • 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.
    Paper

Preprints

  • Action-Gradient Monte Carlo Tree Search for Non-Parametric Continuous (PO)MDPs
    Idan Lev-Yehudi, Michael Novitsky, Moran Barenboim, Ron Benchetrit, Vadim Indelman
    Under Review.
    Online MDP & POMDP planning using gradient-enhanced MCTS with consistent value estimates.
    Paper
  • Anytime Incremental $\rho$POMDP Planning in Continuous Spaces
    Ron Benchetrit, Idan Lev-Yehudi, Andrey Zhitnikov, Vadim Indelman
    Under Review.
    Practical incremental POMDP planner for entropy and information objectives.
    Paper