Lifting DecPOMDPs for Nanoscale Systems -- A Work in Progress
  DNA-based nanonetworks have a wide range of promising use cases, especially
in the field of medicine. With a large set of agents, a partially observable
stochastic environment, and noisy observations, such nanoscale systems can be
modelled as a decentralised, partially observable, Markov decision process
(DecPOMDP). As the agent set is a dominating factor, this paper presents (i)
lifted DecPOMDPs, partitioning the agent set into sets of indistinguishable
agents, reducing the worst-case space required, and (ii) a nanoscale medical
system as an application. Future work turns to solving and implementing lifted
DecPOMDPs.
