Rafael F. Cunha

Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach

The centralized training for decentralized execution paradigm emerged as the state-of-the-art approach to ϵ-optimally solving decentralized partially observable Markov decision processes. However, scalability remains a significant issue. This paper presents a novel and more scalable alternative, nam…