4 papers · 1 filter
POMDPPlanners: Open-Source Package for POMDP Planning
Yaacov Pariente, Vadim Indelman
We present POMDPPlanners, an open-source Python package for empirical evaluation of Partially Observable Markov Decision Process (POMDP) planning algorithms. The package integrates…
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman
Solving partially observable Markov decision processes (POMDPs) with high dimensional and continuous observations, such as camera images, is required for many real life robotics an…
Measurement Simplification in Ï-POMDP with Performance Guarantees
Tom Yotam, Vadim Indelman
Decision making under uncertainty is at the heart of any autonomous system acting with imperfect information. The cost of solving the decision making problem is exponential in the…
A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces
Moshe Shienman, Ohad Levy-Or, Michael Kaess +1
We introduce an innovative method for incremental nonparametric probabilistic inference in high-dimensional state spaces. Our approach leverages \slices from high-dimensional surfa…