Guillaume Bono

According to our database, Guillaume Bono authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning to navigate efficiently and precisely in real environments.

Guillaume Bono, Hervé Poirier, Leonid Antsfeld, Gianluca Monaci, Boris Chidlovskii, Christian Wolf

CoRR, 2024

2023

End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon.

Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii, Philippe Weinzaepfel, Christian Wolf

CoRR, 2023

Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction.

Guillaume Bono, Leonid Antsfeld, Assem Sadek, Gianluca Monaci, Christian Wolf

CoRR, 2023

Multi-Object Navigation in real environments using hybrid policies.

Assem Sadek, Guillaume Bono, Boris Chidlovskii, Atilla Baskurt, Christian Wolf

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements.

Quentin Possamaï, Steeven Janny, Guillaume Bono, Madiha Nadri, Laurent Bako, Christian Wolf

CoRR, 2022

An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments.

Assem Sadek, Guillaume Bono, Boris Chidlovskii, Christian Wolf

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms.

Guillaume Bono, Jilles Steeve Dibangoye, Olivier Simonin, Laëtitia Matignon, Florian Pereyron

IEEE Trans. Intell. Transp. Syst., 2021

SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation.

Theo Jaunet, Guillaume Bono, Romain Vuillemot, Christian Wolf

CoRR, 2021

2020

Deep multi-agent reinforcement learning for dynamic and stochastic vehicle routing problems. (Apprentissage par renforcement multi-agent profond pour les problèmes de planification de tournées dynamiques et stochastiques).

Guillaume Bono

PhD thesis, 2020

2018

Cooperative Multi-agent Policy Gradient.

Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs.

Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin

Proceedings of the Journées Francophone Planification, 2018