ANPL Publications:

1. I. Lev-Yehudi, M. Barenboim, and V. Indelman, “Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice,” in 38th AAAI Conference on Artificial Intelligence (AAAI-24), Feb. 2024.
   
2. M. Barenboim, “Simplified POMDP Algorithms with Performance Guarantees,” PhD thesis, Technion - Israel Institute of Technology, 2024.
   
3. M. Barenboim, M. Shienman, and V. Indelman, “Monte Carlo Planning in Hybrid Belief POMDPs,” IEEE Robotics and Automation Letters (RA-L), no. 8, Aug. 2023.
   
4. M. Barenboim, I. Lev-Yehudi, and V. Indelman, “Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees,” IEEE Robotics and Automation Letters (RA-L), no. 10, Oct. 2023.
   
5. M. Barenboim and V. Indelman, “Online POMDP Planning with Anytime Deterministic Guarantees,” in Conference on Neural Information Processing Systems (NeurIPS), Dec. 2023.
   
6. M. Barenboim and V. Indelman, “Adaptive Information Belief Space Planning,” in the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI), Jul. 2022.