Guillaume Bono

Orcid: 0000-0003-3001-2857

According to our database1, Guillaume Bono authored at least 14 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
RANa: Retrieval-Augmented Navigation.
Trans. Mach. Learn. Res., 2025

Kinaema: a recurrent sequence model for memory and pose in motion.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Reasoning in Visual Navigation of End-to-end Trained Agents: A Dynamical Systems Approach.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Navigate Efficiently and Precisely in Real Environments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Multi-Object Navigation in real environments using hybrid policies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements.
CoRR, 2022

An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms.
IEEE Trans. Intell. Transp. Syst., 2021

SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation.
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).
PhD thesis, 2020

2018
Cooperative Multi-agent Policy Gradient.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs.
Proceedings of the Journées Francophone Planification, 2018


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