The Partially Observable Monte Carlo Planning (POMCP) leverages Monte Carlo Tree Search (MCTS) and Particle Filtering (PF) to enhance the computational efficiency in solving large-scale Partially ...

Perception-related tasks often arise in autonomous systems operating under partial observability. This work studies the problem of synthesizing optimal policies for complex perception-related ...