Finite-State Controllers for (Hidden-Model) POMDPs using Deep Reinforcement Learning

David Hudák, Maris F. L. Galesloot, Martin Tappler +3

Solving partially observable Markov decision processes (POMDPs) requires computing policies under imperfect state information. Despite recent advances, the scalability of existing…