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Multi-Object Navigation with dynamically learned neural implicit representations., , , and . ICCV, page 10970-10981. IEEE, (2023)ELSIM: End-to-End Learning of Reusable Skills Through Intrinsic Motivation., , and . ECML/PKDD (2), volume 12458 of Lecture Notes in Computer Science, page 541-556. Springer, (2020)Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning., , and . AAMAS, page 2252-2254. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Context Aware Robot Architecture, Application to the RoboCup@Home Challenge., , , , , , and . RoboCup, volume 11374 of Lecture Notes in Computer Science, page 205-216. Springer, (2018)DisTop: Discovering a Topological representation to learn diverse and rewarding skills., , and . CoRR, (2021)Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs., , , , and . JFPDA, HAL, (2018)Multi-Robot Simultaneous Coverage and Mapping of Complex Scene - Comparison of Different Strategies., and . AAMAS, page 559-567. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Cooperative Multi-agent Policy Gradient., , , , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 459-476. Springer, (2018)Multi-robot human scene observation based on hybrid metric-topological mapping., , and . ECMR, page 1-6. IEEE, (2017)Design of semi-decentralized control laws for distributed-air-jet micromanipulators by reinforcement learning., , and . IROS, page 3277-3283. IEEE, (2009)