ACSOS 2022 (series) / Main Track / Addressing Collective Computations Efficiency: Towards a Platform-level Reinforcement Learning Approach
Addressing Collective Computations Efficiency: Towards a Platform-level Reinforcement Learning Approach
Thu 22 Sep 2022 15:30 - 15:45 at Talk Room 1 - Technical Session 6 - Collective Intelligence Chair(s): Phyllis Nelson
Thu 22 SepDisplayed time zone: (UTC) Coordinated Universal Time change
Thu 22 Sep
Displayed time zone: (UTC) Coordinated Universal Time change
15:30 - 17:00 | Technical Session 6 - Collective IntelligenceMain Track at Talk Room 1 Chair(s): Phyllis Nelson California State Polytechnic University Pomona | ||
15:30 15mPaper | Addressing Collective Computations Efficiency: Towards a Platform-level Reinforcement Learning Approach Main Track Gianluca Aguzzi Alma Mater Studiorum - Università di Bologna, Roberto Casadei University of Bologna, Italy, Mirko Viroli Alma Mater Studiorum - Università di Bologna | ||
15:45 15mPaper | Self-stabilising Priority-Based Multi-Leader Election and Network Partitioning Main Track Danilo Pianini University of Bologna, Roberto Casadei University of Bologna, Italy, Mirko Viroli Alma Mater Studiorum - Università di Bologna | ||
16:00 10mShort-paper | The Impact of Multi-scale Control Topology on Asset Distribution in Dynamic Environments Main Track | ||
16:10 10mShort-paper | On the Dynamic Evolution of Distributed Computational Aggregates Main Track | ||
16:20 40m | Panel Discussion 6 Main Track Evangelos Pournaras University of Leeds, Christopher Stewart The Ohio State University, USA, Ada Diaconescu LTCI Lab, Telecom Paris, Institute Politechnqie de Paris, Miaoqing Huang University of Arkansas |