A Distributed Cooperative Reinforcement Learning Method for Decision Making in Fire Brigade Teams

Abdolmaleki, Abbas; Movahedi, Mostafa; Lau, Nuno; Reis, Luís Paulo

doi:10.1007/978-3-642-39250-4_22

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Throughout the year, the work developed was also applied in other RoboCup leagues such as the middle size league [Moreira et al, 2002], [Scolari et al, 2006], where all the tactical framework, formations, setplays among many other methodologies were applied. We have also applied the strategical framework to the Simulation Rescue League [Reinaldo et al, 2005, ] [Certo et al, 2007a] [Certo et al, 2007b] [Certo et al, 2007c] [Alves et al, 2008] [Abdolmaleki et al, 2011] [Abdolmaleki et al, 2012. Finally, we have also applied our work to the 4-Legged League [Afonso et al, 2004, and the Standard Platform League, [Domingues et al, 2011], [Miranda et al, 2013] where, the code used to control the real NAO was exactly the same as the code used for the simulated NAO.…”

Section: Application To Other Leaguesmentioning

confidence: 99%

Coordination in Multi-robot Systems: Applications in Robotic Soccer

Reis

Almeida²,

Mota

et al. 2013

Communications in Computer and Information Science

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This paper presents in a simple and very concise manner, and accessible to a broad audience, the concepts of Artificial Intelligence (AI), Agents and Multi-Agent Systems (MAS), Coordination in MAS, Intelligent Robotics (IR), Multi-Robot Systems (MRS), Machine Learning (ML), Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL). Emphasis is given on and how AI and ML, with special focus on DRL, may be efficiently used to create efficient robot skills and coordinated robotic teams, capable of performing very complex actions and tasks, as a team, such as playing a game of soccer.The paper also presents the concept of robotic soccer and the vision and structure of the RoboCup initiative and the world robotic soccer championship with emphasis on the Humanoid Simulation 3D league and the new challenges for the AI community that RoboCup, and in particular this competition, poses. The final topics presented at the paper are based on the research developed or coordinated by the author throughout the last 22 years on the areas of multi-agent systems and intelligent robotics with emphasis for its applications in the domain of robotic soccer in the context of the FC Portugal project.Proxy challenge and the Free/Scientific Challenge at RoboCup 2022. In what concerns scientific publications, the FC Portugal project and the works briefly described in this paper enabled us to publish more than 100 papers in indexed international conferences and journals.

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