| Mar 10, 2025 | Invited by the Integrate and Fire Seminar organisers at McGill University to share my perspective on the discussion theme of the night, “How Intelligent is AI?” Through sharing my own work on reinforcement learning, I presented some evidence which showed that agents learned solely on rewards can obtain some form of intelligence. |
| Jan 30, 2025 | Invited by Prof. Paul Masset to give a talk on my research on Successor Features and Continual Reinforcement Learning at his lab in McGill University, Montréal. The talk was well-received, and I had the opportunity to discuss my work with several members of his lab. Look forward to future collaborations with the lab and hope to visit again soon! |
| Dec 08, 2024 | Gave a short talk on my work on Continual Reinforcement Learning at the “Foresight Institute Vision Weekend event in San Francisco!” |
| Sep 28, 2024 | Presented our recent work on Continual RL using Successor Features and Memory Mechanisms at NAISys, a NeuroAI conference at Cold Spring Harbour Laboratory at NY, USA. 🍎🇺🇸. Stay tuned for the preprint (early 2025)! 📝🧠 |
| Sep 25, 2024 | My first research paper titled “Learning Successor Features the Simple Way,” on which I am the primary first author, co-authored with Arna Ghosh, Christos Kaplanis, Blake Richards and Doina Precup, has been accepted to the Neural Information Processing Systems conference (NeurIPS) a top-tier machine learning conference with a very selective 25.8% acceptance rate. Check out the blogpost and the paper! 🎉 |
| Feb 29, 2024 | Presented our recent work on Continual RL using Successor Features @ Computational and Systems Neuroscience (COSYNE) in Lisbon, Portugal, with a selective 51.6% acceptance rate. 🇵🇹🧠 |