Abstract. Certain problems in which the environment is not well constrained do not lend themselves to a conventional open loop solution. Image understanding is such a problem domai...
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
Abstract The JAMUS platform is dedicated to providing a safe runtime environment for untrusted Java application programs, while offering each of these programs access to the resour...
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
In this paper we discuss computational complexity and risk averse approaches to two and multistage stochastic programming problems. We argue that two stage (say linear) stochastic ...