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Call For Papers

The ICRLML 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 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:

  • Applications of reinforcement learning in robotics
  • Deep reinforcement learning techniques
  • Multi-agent reinforcement learning systems
  • Reinforcement learning for game AI
  • Challenges in reinforcement learning applications
  • Reinforcement learning in autonomous vehicles
  • Policy gradient methods in RL
  • Reinforcement learning for resource management
  • Exploration vs exploitation in RL
  • Transfer learning in reinforcement learning
  • Reinforcement learning for recommendation systems
  • Real-world applications of RL algorithms
  • Reinforcement learning in healthcare optimization
  • Ethics of reinforcement learning applications
  • Reinforcement learning for financial trading
  • Hierarchical reinforcement learning approaches
  • Reinforcement learning in natural language processing
  • Robustness of RL algorithms in practice
  • Reinforcement learning for energy management
  • 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.