Hybrid Conference (In Person / Virtual)

International Conference on Reinforcement Learning for Control Systems (ICRLCS - 27)
23rd - 24th March 2027 , Gdansk, Poland
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  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Gdansk. 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 Gdansk conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Gdansk 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 ICRLCS 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 Data Science, 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 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

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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