Bruno DATO Post Doc / Research engineer

Identifiants chercheurs

IdHAL :

bdato

Publications

Communication dans un congrès (3)

Towards Generic Scenarios for Urban Planning Interactive Multimodal Traffic Simulations Bruno Dato,Nicolas Verstaevel,Frédéric Amblard GAMA Days 2024, Nov 2024, Online, France Communication dans un congrès hal-04890247v1
Cooperative Neighborhood Learning: Application to Robotic Inverse Model Bruno Dato,Marie-Pierre Gleizes,Frédéric Migeon 13th International Conference on Agents and Artificial Intelligence (ICAART 2021), Feb 2021, Online Streaming, France. pp.368-375 Communication dans un congrès hal-03342327v1
A Local Active Learning Strategy by Cooperative Multi-Agent Systems Bruno Dato,Marie-Pierre Gleizes,Frédéric Migeon 13th International Conference on Agents and Artificial Intelligence (ICAART 2021), Feb 2021, Online Streaming, France. pp.406-413 Communication dans un congrès hal-03342330v1

Rapport (1)

Apprentissage par Systèmes Multi-Agents Adaptatifs par feedbacks endogènes : prospectives et applications Bruno Dato [Rapport de recherche] IRIT. 2017 Rapport (rapport de recherche) hal-03131896v1

Thèse (1)

Lifelong learning by endogenous feedback, application to a robotic system Bruno Dato Machine Learning [cs.LG]. Université Paul Sabatier - Toulouse III, 2021. English. ⟨NNT : 2021TOU30063⟩ Thèse tel-03341997v2