Hybrid Conference (In Person / Virtual)

International Conference on Reinforcement Learning and Data Science (ICRLDS - 27)
24th - 25th June 2027 , Antalya, Turkey
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Antalya. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Antalya conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Antalya and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICRLDS provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Artificial Intelligence, Data Science, Machine Learning, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Reinforcement learning algorithms for data optimization
02
Applications of data science in reinforcement learning
03
Multi-agent systems in reinforcement learning
04
Exploration vs exploitation in learning algorithms
05
Deep reinforcement learning for complex tasks
06
Real-world applications of reinforcement learning
07
Data-driven decision making in uncertain environments
08
Reinforcement learning for robotics and automation
09
Policy gradient methods in data science
10
Transfer learning in reinforcement learning
11
Reinforcement learning for game AI development
12
Ethical considerations in reinforcement learning
13
Combining reinforcement learning with supervised learning
14
Reinforcement learning in financial modeling
15
Adaptive learning systems using reinforcement techniques
16
Challenges in scaling reinforcement learning algorithms
17
Reinforcement learning for personalized recommendations
18
Data efficiency in reinforcement learning methods
19
Reinforcement learning for healthcare applications
20
Future trends in reinforcement learning research

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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