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 ...

In this article, we present a model-based reinforcement learning (MBRL) algorithm named Monte Carlo probabilistic inference for learning control (MC-PILCO). This algorithm relies on Gaussian processes ...