Information

  • Home
  • Call for Paper

Call For Papers

The ICRLDS bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Artificial Intelligence,Data Science,Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Conference Alert

Due to heightened regional tensions and travel risks, the conference may be conducted in virtual-only mode. Updates regarding participation format will be communicated in advance.