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Call for Paper

The ICDRLDS emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Artificial Intelligence, Data Science, Machine Learning are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

01
Deep reinforcement learning applications
02
Challenges in deep reinforcement learning
03
AI for game playing and simulations
04
Real-time decision making with reinforcement learning
05
Deep reinforcement learning in robotics
06
Ethics of reinforcement learning algorithms
07
Applications of reinforcement learning in finance
08
Data efficiency in reinforcement learning models
09
Future trends in deep reinforcement learning
10
Reinforcement learning for autonomous systems
11
Multi-agent reinforcement learning frameworks
12
Reinforcement learning for healthcare applications
13
Data-driven strategies in reinforcement learning
14
Integrating deep learning with reinforcement learning
15
Reinforcement learning for optimization problems
16
Case studies in reinforcement learning applications
17
Reinforcement learning for energy management
18
AI for personalized learning experiences
19
Reinforcement learning in natural language processing
20
Collaborative reinforcement learning systems

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.