International Conference on

Reinforcement Learning for Control Systems (ICRLCS-26)

5th – 6th Dec 2026 | Vienna, Austria | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Reinforcement Learning for Control Systems invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Data Science encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

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

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