Description

The online workshop titled “Building Intelligent Agents with Reinforcement Learning” was successfully held on 7th October 2025, attracting over 160 participants from universities across Sri Lanka. Ms. Shalini Rajasingham served as the resource person for the workshop. She brings strong expertise in agent technology, distributed systems, multi-agent systems, and learning analytics. The event was organized and coordinated by Dr. Suresha Nilmini Perera on behalf of the IEEE Computer Society Sri Lanka Chapter and E3 – Computer Science Section, Sri Lanka Association for the Advancement of Science (SLAAS), as part of its ongoing initiatives to enhance AI-related technical competencies among undergraduate students. This workshop was designed to introduce students to RL fundamentals through hands-on activities using Python and OpenAI Gym. Participants explored how RL agents make decisions, learn from rewards, and improve their performance through trial and error. The session aimed to spark interest and build a foundation for future learning and research in the rapidly evolving field of intelligent systems. Objectives of the workshop: Introduce foundational concepts in reinforcement learning, including agents, environments, rewards, and policies. Guide students in implementing basic RL algorithms using Python. Familiarize participants with OpenAI Gym for interactive simulations. Inspire exploration of advanced RL techniques and their real-world applications. Establish a baseline for future workshops and research engagement. Ms. Rajasingham’s expertise in agent technology, distributed systems, multi-agent systems, and learning analytics enriched the workshop with practical insights and real-world relevance. Her demonstrations and explanations provided participants with a strong conceptual and practical grounding in Reinforcement Learning. Participants gained a clear understanding of RL fundamentals and hands-on experience implementing simple RL agents. The workshop successfully encouraged students to explore the wider applications and future possibilities in intelligent systems and advanced AI.