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contributions to multi-agent reinforcement learning - ORBi
In the realm of machine learning, multi-agent reinforcement learning (MARL) is the setting where several agents learn to act by receiving rewards after ...
Recent Progress in Robot Control Systems - MDPI
This is a reprint of articles from the Special Issue published online in the open access journal Symmetry. (ISSN 2073-8994) (available at: https://www.mdpi.com/ ...
Méthodes de fusion multi-capteurs tolérantes aux défauts
- Proposing a multi-sensors fault tolerant fusion approach for accurate robot localization. Based on adaptive Entropy-based threshold control ...
2024 IEEE International Conference on Robotics and Automation ...
Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model ... IQL-TD-MPC: Implicit Q-Learning for Hierarchical ...
Ensemble Learning for Social Robots: Enhancing Decision-Making ...
This study builds upon the TGM framework proposed in previous work [19], which models social robot decision-making in multi-person group interactions using ...
General Engineering Program - Cursus Ecam
This volume contains the extended abstracts of the talks presented at the conference PGMO-. DAYS 2024 held on November 19th ? 20th, 2024 at ...
Proceedings of the 41th International Symposium on Automation ...
Comme leur nom l'indique, les Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA) sont destinées aux jeunes chercheurs en ...