2019
Probabilistic Planning with Sequential Monte Carlo methods
ICLR 2019poster
In this work, we propose a novel formulation of planning which views it as a probabilistic inference problem over future optimal trajectories. This enables us to use sampling methods, and thus, tackle planning in continuous domains using a fixed computational budget. We design a new algorithm, Se…