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Call for Paper

The ICRLCS 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 Data Science 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
Reinforcement learning algorithms for control systems
02
Applications of RL in robotics and automation
03
Model-free vs model-based reinforcement learning
04
Safety and reliability in RL control systems
05
Multi-agent reinforcement learning techniques
06
Deep reinforcement learning for complex tasks
07
Real-time decision making using RL
08
Transfer learning in reinforcement learning
09
Reward shaping strategies in RL applications
10
Adaptive control using reinforcement learning
11
Challenges in implementing RL in practice
12
Reinforcement learning for dynamic systems
13
Combining RL with traditional control methods
14
Benchmarking RL algorithms in control scenarios
15
Applications of RL in aerospace systems
16
Reinforcement learning for energy management
17
Human-in-the-loop reinforcement learning
18
Scalability issues in RL for control systems
19
Reinforcement learning in uncertain environments
20
Future directions in RL for control 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.