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2020 – today
- 2024
[c7]Guillaume Bono, Hervé Poirier, Leonid Antsfeld, Gianluca Monaci, Boris Chidlovskii, Christian Wolf:
Learning to Navigate Efficiently and Precisely in Real Environments. CVPR 2024: 17837-17846- [c6]Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii, Philippe Weinzaepfel, Christian Wolf:
End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon. ICLR 2024 - [c5]Guillaume Bono, Leonid Antsfeld, Assem Sadek, Gianluca Monaci, Christian Wolf:
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction. ICLR 2024 - [i7]Assem Sadek, Guillaume Bono, Boris Chidlovskii, Atilla Baskurt, Christian Wolf:
Multi-Object Navigation in real environments using hybrid policies. CoRR abs/2401.13800 (2024) - [i6]Guillaume Bono, Hervé Poirier, Leonid Antsfeld, Gianluca Monaci
, Boris Chidlovskii, Christian Wolf:
Learning to navigate efficiently and precisely in real environments. CoRR abs/2401.14349 (2024) - 2023
- [c4]Assem Sadek, Guillaume Bono, Boris Chidlovskii, Atilla Baskurt, Christian Wolf:
Multi-Object Navigation in real environments using hybrid policies. ICRA 2023: 4085-4091 - [i5]Guillaume Bono, Leonid Antsfeld, Assem Sadek, Gianluca Monaci, Christian Wolf:
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction. CoRR abs/2306.03857 (2023) - [i4]Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii, Philippe Weinzaepfel, Christian Wolf:
End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon. CoRR abs/2309.16634 (2023) - 2022
- [c3]Assem Sadek, Guillaume Bono, Boris Chidlovskii, Christian Wolf:
An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments. ICRA 2022: 9425-9431 - [i3]Quentin Possamaï, Steeven Janny, Guillaume Bono, Madiha Nadri, Laurent Bako, Christian Wolf:
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements. CoRR abs/2202.00403 (2022) - 2021
- [j1]Guillaume Bono, Jilles Steeve Dibangoye, Olivier Simonin, Laëtitia Matignon, Florian Pereyron:
Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms. IEEE Trans. Intell. Transp. Syst. 22(12): 7804-7813 (2021) - [i2]Theo Jaunet, Guillaume Bono, Romain Vuillemot, Christian Wolf:
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation. CoRR abs/2109.11801 (2021) - [i1]Assem Sadek, Guillaume Bono, Boris Chidlovskii, Christian Wolf:
An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments. CoRR abs/2111.14666 (2021) - 2020
- [b1]Guillaume Bono:
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). University of Lyon, France, 2020
2010 – 2019
- 2018
- [c2]Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin:
Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs. JFPDA 2018 - [c1]Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin:
Cooperative Multi-agent Policy Gradient. ECML/PKDD (1) 2018: 459-476
Coauthor Index
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