HomeANNOUNCEMENT5-Days FDP cum Workshop on Applied Reinforcement Learning: From Foundations to Real-World...

5-Days FDP cum Workshop on Applied Reinforcement Learning: From Foundations to Real-World Applications (IIIT Kottayam) Events 2026

Location:

In the rapidly evolving field of Artificial Intelligence, Reinforcement Learning (RL) stands out as a pivotal area of study, offering transformative potential across various industries. The Indian Institute of Information Technology Kottayam (IIIT Kottayam) is hosting a comprehensive 5-Day Faculty Development Programme (FDP) cum Workshop on Applied Reinforcement Learning: From Foundations to Real-World Applications. This event is designed to equip participants with both foundational knowledge and practical skills in RL, making it an unmissable opportunity for educators, researchers, and industry professionals.

Event Overview

The 5-Day FDP cum Workshop on Applied Reinforcement Learning is scheduled to take place from July 20 to July 24, 2026. This online event is organized by the Department of Computer Science & Engineering 2 (Applied AI) at IIIT Kottayam. It aims to bridge the gap between theoretical concepts and practical applications of RL, providing participants with hands-on experience using Python and MATLAB/Simulink.

Key Topics Covered

  • Foundations of Reinforcement Learning
  • Agent-Environment Interaction and Markov Decision Processes
  • Value Functions and Dynamic Programming
  • Q-Learning and Temporal Difference Learning
  • Multi-Armed Bandits and Exploration-Exploitation Strategies
  • Deep Q Networks (DQN) and Deep Reinforcement Learning
  • Policy-Based Methods and Actor-Critic Frameworks
  • Multi-Agent Reinforcement Learning
  • Hands-on Reinforcement Learning using Python
  • Reinforcement Learning using MATLAB & Simulink
  • Real-World Applications of Reinforcement Learning

Speakers

  • Dr. Raghuram Bharadwaj, Associate Professor, IIIT Bangalore
  • Dr. Syed Sahul Hameed, Assistant Professor, IIITDM Kancheepuram
  • Dr. Souvick Chatterjee, Manager Principal Customer Success Engineer, MathWorks India
  • Mr. Mahesh Kumar, Senior Research Fellow, NIT Puducherry
  • Faculty Members, IIIT Kottayam

About IIIT Kottayam

The Indian Institute of Information Technology Kottayam, established in 2015, is recognized as an Institute of National Importance under the Ministry of Education, Government of India. Located in Valavoor, Kerala, the institute spans a 53-acre campus and offers a range of programs in Computer Science and Engineering, Electronics and Communication Engineering, Cyber Security, Artificial Intelligence & Data Science, and more. IIIT Kottayam is committed to excellence in education, interdisciplinary research, and fostering innovation and entrepreneurship.

Who Can Participate?

This FDP cum Workshop is open to UG/PG students, faculty members, research scholars, and industry professionals who are keen to deepen their understanding of Reinforcement Learning and its applications.

Registration Details

Participants are required to register through the IIIT Kottayam SBI Collect Portal. The registration fee varies for different categories:

  • UG/PG Students
  • Research Scholars/Faculty Members/Industry Professionals

To complete the registration, follow these steps:

  • Visit the SBI Collect Portal.
  • Select Educational Institutions and search for IIIT Kottayam.
  • Choose “FDP cum Workshop on -Applied Reinforcement Learning-” under the payment category.
  • Complete the payment and download the receipt.
  • Upload the receipt while filling the registration form.

Registration Link: https://forms.glc/oohBUNmUCYRrdVq59

Event Brochure: Clickhere

https://drive.googlexom/file/d/lMpwgfgSflTYlJfA-R8z5Eob7

Important Dates

Last Date for Registration: July 19, 2026

Confirmation to Registered Participants: July 20, 2026

FDP Dates: July 20-24, 2026

Contact Information

📧 EMAIL

mirothalichand@iiitkottayam.ac.in

🌐 WEBSITE

https://www.iiitkQttayam.ac.in

Address for Communication

Indian Institute of Information Technology Kottayam, Valavoor P.O., Pala, Kottayam, Kerala 686635, India.

Official Source / Reference

The official notification for the 5-Day FDP cum Workshop on Applied Reinforcement Learning was released by the organizing department on July 10, 2026. For more details, visit the official notification.

Reference: Five-Day Online FDP cum Workshop on Applied Reinforcement Learning Official Notification by Organizing Department on 10 July 2026

 In conclusion, this FDP cum Workshop offers a unique opportunity to delve into the world of Reinforcement Learning, guided by experts and enriched with practical sessions. Whether you are an academic, a researcher, or a professional, this event promises to enhance your skills and broaden your understanding of RL applications in real-world scenarios.

You will not be charged to receive job alerts in your email — it’s completely FREE. Why wait? Subscribe now and never miss an update!

Find More Opportunities

Start building your career today—explore job openings in all states and stay connected with the latest opportunities and events through Faculty Tick

Disclaimer: Faculty Tick strives to ensure that the information provided on its website (facultytick.com) is accurate, reliable, and up-to-date. However, we do not make any warranties, express or implied, regarding the completeness, accuracy, reliability, suitability, or availability of any information, products, services, or related graphics contained on the website for any purpose. Any reliance you place on such information is strictly at your own risk. Faculty Tick will not be liable for any loss or damage including, without limitation, indirect or consequential loss or damage, or any loss or damage whatsoever arising from loss of data or profits arising out of, or in connection with, the use of this website.
While we endeavor to keep the website running smoothly, Faculty Tick takes no responsibility and will not be liable for the website being temporarily unavailable due to technical issues beyond our control. We make every effort to keep the content on facultytick.com current.
If you find any content that appears to be inaccurate, outdated, or in need of correction, please email us at info@facultytick.com.
We appreciate your help in improving the quality of the information we provide. If you have any questions about this disclaimer or need further information, please feel free to contact us at: info@facultytick.com

RELATED TAG

MOST POPULAR

LATEST POST

More

    MONTH WISE POST