International Conference on Reinforcement Learning and Data Science
(ICRLDS - 26)

20th - 21st October 2026 Malaga, Spain (Hybrid Event)

Call for Paper

The ICRLDS is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Artificial Intelligence,Data Science,Machine Learning, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Reinforcement learning algorithms for data optimization
  • Applications of data science in reinforcement learning
  • Multi-agent systems in reinforcement learning
  • Exploration vs exploitation in learning algorithms
  • Deep reinforcement learning for complex tasks
  • Real-world applications of reinforcement learning
  • Data-driven decision making in uncertain environments
  • Reinforcement learning for robotics and automation
  • Policy gradient methods in data science
  • Transfer learning in reinforcement learning
  • Reinforcement learning for game AI development
  • Ethical considerations in reinforcement learning
  • Combining reinforcement learning with supervised learning
  • Reinforcement learning in financial modeling
  • Adaptive learning systems using reinforcement techniques
  • Challenges in scaling reinforcement learning algorithms
  • Reinforcement learning for personalized recommendations
  • Data efficiency in reinforcement learning methods
  • Reinforcement learning for healthcare applications
  • Future trends in reinforcement learning research
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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