11 citations · 22 across the 2 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2013★ 11 cited
Planning with Partially Observable Markov Decision Processes: Advances in Exact Solution Method
Nevin Lianwen Zhang, Stephen S. Lee
There is much interest in using partially observable Markov decision processes (POMDPs) as a formal model for planning in stochastic domains. This paper is concerned with finding o…
cs.AI2013★ 11 cited
A Method for Speeding Up Value Iteration in Partially Observable Markov Decision Processes
Nevin Lianwen Zhang, Stephen S. Lee, Weihong Zhang
We present a technique for speeding up the convergence of value iteration for partially observable Markov decisions processes (POMDPs). The underlying idea is similar to that behin…