Aurélien Delage — accepted AI-conference papers

2025

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

Johan Peralez, Aurélien Delage, Jacopo Castellini, Rafael F. Cunha, Jilles S. Dibangoye

AAAI 2025technical

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…

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2024

Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach

Johan Peralez, Aurélien Delage, Olivier Buffet, Jilles Steeve Dibangoye

ICML 2024poster

A recent theory shows that a multi-player decentralized partially observable Markov decision process can be transformed into an equivalent single-player game, enabling the application of Bellman's principle of optimality to solve the single-player game by breaking it down into single-stage subgames.…

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