You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
It would be nice to have an offline solver, which can handle continuous observation spaces (or large discrete ones). Hoey & Poupart [1] introduced an extension of point-based methods, which works by partitioning the observation space into a small set of regions, which lead to the same conditional plan.
I might give implementing their method a try at some point, but I am not sure whether this should be implemented as an extension of PointBasedValueIteration.jl or as a standalone package.
[1] Hoey, J., & Poupart, P. (2005, July). Solving POMDPs with continuous or large discrete observation spaces. In IJCAI (pp. 1332-1338).
The text was updated successfully, but these errors were encountered:
This would be really cool. I'm guessing we would want a more convenient way to represent continuous spaces though. If it is a pretty straightforward addition, I think it would make sense to be in this package, but it could also just depend on this package without being a part of it.
It would be nice to have an offline solver, which can handle continuous observation spaces (or large discrete ones). Hoey & Poupart [1] introduced an extension of point-based methods, which works by partitioning the observation space into a small set of regions, which lead to the same conditional plan.
I might give implementing their method a try at some point, but I am not sure whether this should be implemented as an extension of
PointBasedValueIteration.jl
or as a standalone package.[1] Hoey, J., & Poupart, P. (2005, July). Solving POMDPs with continuous or large discrete observation spaces. In IJCAI (pp. 1332-1338).
The text was updated successfully, but these errors were encountered: