3 papers
cs.AI2026
A First Step Towards Even More Sparse Encodings of Probability Distributions
Florian Andreas Marwitz, Tanya Braun, Ralf Möller
Real world scenarios can be captured with lifted probability distributions. However, distributions are usually encoded in a table or list, requiring an exponential number of values…
cs.LG2026
Denoising the Future: Top-p Distributions for Moving Through Time
Florian Andreas Marwitz, Ralf Möller, Magnus Bender +1
Inference in dynamic probabilistic models is a complex task involving expensive operations. In particular, for Hidden Markov Models, the whole state space has to be enumerated for…
cs.AI2026
Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions
Florian Andreas Marwitz, Tanya Braun, Ralf Möller +1
When allowing concurrent actions in Markov Decision Processes, whose state and action spaces grow exponentially in the number of objects, computing a policy becomes highly ineffici…