27 citations · 33 across the 7 of their papers we have counts for
8 papers
Partially Observable Monte-Carlo Graph Search
Yang You, Vincent Thomas, Alex Schutz +3
Currently, large partially observable Markov decision processes (POMDPs) are often solved by sampling-based online methods which interleave planning and execution phases. However,…
Observer-Aware Probabilistic Planning Under Partial Observability
Salomé Lepers, Vincent Thomas, Olivier Buffet
In this article, we are interested in planning problems where the agent is aware of the presence of an observer, and where this observer is in a partial observability situation. Th…
How to Exhibit More Predictable Behaviors
Salomé Lepers, Sophie Lemonnier, Vincent Thomas +1
This paper looks at predictability problems, i.e., wherein an agent must choose its strategy in order to optimize the predictions that an external observer could make. We address t…
Monte-Carlo Search for an Equilibrium in Dec-POMDPs
Yang You, Vincent Thomas, Francis Colas +1
Decentralized partially observable Markov decision processes (Dec-POMDPs) formalize the problem of designing individual controllers for a group of collaborative agents under stocha…
Solving infinite-horizon Dec-POMDPs using Finite State Controllers within JESP
Yang You, Vincent Thomas, Francis Colas +1
This paper looks at solving collaborative planning problems formalized as Decentralized POMDPs (Dec-POMDPs) by searching for Nash equilibria, i.e., situations where each agent's po…
Monte Carlo Information-Oriented Planning
Vincent Thomas, Gérémy Hutin, Olivier Buffet
In this article, we discuss how to solve information-gathering problems expressed as rho-POMDPs, an extension of Partially Observable Markov Decision Processes (POMDPs) whose rewar…