International Conference on Reinforcement Learning and Data Science (ICRLDS-26)
Welcome to International Conference on Reinforcement Learning and Data Science (ICRLDS-26), the premier conference for s...
ACDA27 brings together researchers who design and study combinatorial and graph algorithms motivated by applications. It includes in its scope all topics where models and algorithms from discrete mathematics are applied to solve problems in computer science, scientific computing, data science, physical sciences, life sciences, engineering, social and information sciences, etc. ACDA27 invites papers on the formulation of combinatorial problems from applications; theoretical analyses; design of algorithms; computational evaluation of the algorithms; and deployment of the resulting software to enable applications.
A more detailed call for papers will be published in Spring 2026.
PC co-chair
PC co-chair
OC co-chair
OC co-chair
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