POMDPPlanners: Open-Source Package for POMDP Planning

Yaacov Pariente; Vadim Indelman

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arXiv · 2602.20810

POMDPPlanners: Open-Source Package for POMDP Planning

Yaacov Pariente·Vadim Indelman

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Abstract

We present POMDPPlanners, an open-source Python package for empirical evaluation of Partially Observable Markov Decision Process (POMDP) planning algorithms. The package integrates state-of-the-art planning algorithms, a suite of benchmark environments with safety-critical variants, automated hyperparameter optimization via Optuna, persistent caching with failure recovery, and configurable parallel simulation -- reducing the overhead of extensive simulation studies. POMDPPlanners is designed to enable scalable, reproducible research on decision-making under uncertainty, with particular emphasis on risk-sensitive settings where standard toolkits fall short.

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BibTeX RIS

Yaacov Pariente, Vadim Indelman. 2026-02-24. POMDPPlanners: Open-Source Package for POMDP Planning. https://arxiv.org/abs/2602.20810

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