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Call For Papers

The ICDRLDS 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:

  • Deep reinforcement learning applications
  • Challenges in deep reinforcement learning
  • AI for game playing and simulations
  • Real-time decision making with reinforcement learning
  • Deep reinforcement learning in robotics
  • Ethics of reinforcement learning algorithms
  • Applications of reinforcement learning in finance
  • Data efficiency in reinforcement learning models
  • Future trends in deep reinforcement learning
  • Reinforcement learning for autonomous systems
  • Multi-agent reinforcement learning frameworks
  • Reinforcement learning for healthcare applications
  • Data-driven strategies in reinforcement learning
  • Integrating deep learning with reinforcement learning
  • Reinforcement learning for optimization problems
  • Case studies in reinforcement learning applications
  • Reinforcement learning for energy management
  • AI for personalized learning experiences
  • Reinforcement learning in natural language processing
  • Collaborative reinforcement learning systems

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.

Submit Your Paper Now Confirm Your Participation Today
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