Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bouteiller, Yann"'
Swarm intelligence (SI) explores how large groups of simple individuals (e.g., insects, fish, birds) collaborate to produce complex behaviors, exemplifying that the whole is greater than the sum of its parts. A fundamental task in SI is Collective De
Externí odkaz:
http://arxiv.org/abs/2410.17517
The universe involves many independent co-learning agents as an ever-evolving part of our observed environment. Yet, in practice, Multi-Agent Reinforcement Learning (MARL) applications are usually constrained to small, homogeneous populations and rem
Externí odkaz:
http://arxiv.org/abs/2410.17466
Autor:
Imran, Ali, Varadharajan, Vivek Shankar, Braga, Rafael Gomes, Bouteiller, Yann, Abdalwhab, Abdalwhab Bakheet Mohamed, Di-Giacomo, Matthis, Mercader, Alexandra, Beltrame, Giovanni, St-Onge, David
Artistic performances involving robotic systems present unique technical challenges akin to those encountered in other field deployments. In this paper, we delve into the orchestration of robotic artistic performances, focusing on the complexities in
Externí odkaz:
http://arxiv.org/abs/2404.07795
Autor:
Valenchon, Nicolas, Bouteiller, Yann, Jourde, Hugo R., L'Heureux, Xavier, Sobral, Milo, Coffey, Emily B. J., Beltrame, Giovanni
Closed-loop brain stimulation refers to capturing neurophysiological measures such as electroencephalography (EEG), quickly identifying neural events of interest, and producing auditory, magnetic or electrical stimulation so as to interact with brain
Externí odkaz:
http://arxiv.org/abs/2107.13473
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA), 2022, pp. 7854-7860
Flying robots are usually rather delicate and require protective enclosures when facing the risk of collision, while high complexity and reduced payload are recurrent problems with collision-resilient flying robots. Inspired by arthropods' exoskeleto
Externí odkaz:
http://arxiv.org/abs/2103.04423
Action and observation delays commonly occur in many Reinforcement Learning applications, such as remote control scenarios. We study the anatomy of randomly delayed environments, and show that partially resampling trajectory fragments in hindsight al
Externí odkaz:
http://arxiv.org/abs/2010.02966
Autor:
Valenchon, Nicolas1 (AUTHOR), Bouteiller, Yann1 (AUTHOR) yann.bouteiller@polymtl.ca, Jourde, Hugo R.2 (AUTHOR), L'Heureux, Xavier1 (AUTHOR), Sobral, Milo1 (AUTHOR), Coffey, Emily B. J.2 (AUTHOR), Beltrame, Giovanni1 (AUTHOR)
Publikováno v:
PLoS ONE. 8/22/2022, Vol. 17 Issue 8, p1-20. 20p.