Exploring the Frontiers of Reinforcement Learning and Decision Making: My Experience at RLDM 2025

Presenting My Work

Last month, I had the pleasure of attending RLDM 2025, held in Dublin, Ireland. RLDM brought together a global community of researchers, professors, and students from diverse fields including AI, neuroscience, psychology, robotics, and more.

This year’s event was particularly meaningful to me because I presented my work for the first time. It was a week filled with insightful talks, thought-provoking discussions, and inspiring encounters.

One of the highlights was presenting my paper, Tractable Representations for Convergent Approximation of Distributional HJB Equations. This paper provides Sharing this research and getting feedback from conference attendees was an incredibly rewarding experience.

Highlights from the Conference

RLDM 2025 was packed with compelling talks and poster sessions. A few personal highlights included:

• Wei Ji Ma on Human planning and memory in combinatorial games
• Doina Precup on making artificial RL agents closer to natural ones
• Michael Bowling and Esraa Elelimy on Rethinking the Foundations for Continual Reinforcement Learning
• David Abel et al. on Agency is Frame-Dependent
• Claire Vernade on Partially Observable Reinforcement Learning with Memory Traces

Meeting the Community

RLDM offers a unique opportunity where early-career researchers can genuinely connect with senior researchers. I especially enjoyed taling to Prof. Michael Bowling, Claire Vernade and many friends I met there. TODO polaroid

A Bit of Exploration

Outside the venue, I also got a chance to explore Dublin, . I even managed to visit to Cliffs of Moher, and yes, they are even more gorgeous in person!

Random Photos:

Looking Ahead

A big thank you to the organizers, participants, volunteers, and everyone who made the event such a success.

If you're interested in reinforcement learning, neuroscience, robotics, or decision theory, I can’t recommend RLDM enough.