MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Is there a way to implement a transition function that depends on the belief state? I checked the source code of both POMDPs and QuickPOMDP and there does not seem to be an obvious way of doing it. Thank you!
This is the pseudocode of what I'm trying to do:
transition = function (s, a, b)
if mean(particles(b)) < X:
# transitionA
else:
# transitionB
end
# return new state
end,
Hi,
Is there a way to implement a transition function that depends on the belief state? I checked the source code of both POMDPs and QuickPOMDP and there does not seem to be an obvious way of doing it. Thank you! This is the pseudocode of what I'm trying to do: