2018
Continuous State-Action-Observation POMDPs for Trajectory Planning with Bayesian Optimisation
IROS 2018poster
Decision making under uncertainty is a challenging task, especially when dealing with complex robotics scenarios. The Partially Observable Markov Decision Process (POMDP) framework, designed to solve this problem, was subject to much work lately. Most POMDP solvers, however, focus on planning in dis…