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cs.AI2023
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…
cs.AI2023★ 1 cited
Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees
Moran Barenboim, Idan Lev-Yehudi, Vadim Indelman
Autonomous agents that operate in the real world must often deal with partial observability, which is commonly modeled as partially observable Markov decision processes (POMDPs). H…