Hao(Jackson) Cui

2 accepted papers

2019

Sampling Networks and Aggregate Simulation for Online POMDP Planning

NeurIPS 2019poster

The paper introduces a new algorithm for planning in partially observable Markov decision processes (POMDP) based on the idea of aggregate simulation. The algorithm uses product distributions to approximate the belief state and shows how to build a representation graph of an approximate action-value…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2018

From Stochastic Planning to Marginal MAP

Hao(Jackson) Cui, Radu Marinescu, Roni Khardon

NeurIPS 2018poster

It is well known that the problems of stochastic planning and probabilistic inference are closely related. This paper makes two contributions in this context. The first is to provide an analysis of the recently developed SOGBOFA heuristic planning algorithm that was shown to be effective for problem…

Cited by 9 Source ↗PDF ↗Scholar ↗