Author
PEER Team
Reading timea
00:20
Date
May 06, 2024
Professor Ann Nowé, director of the AI Lab at Vrije Universiteit Brussel (VUB), participated in the AMAAS Conference in New Zealand.
During her talk, Professor Nowé explored the evolving landscape of Reinforcement Learning (RL), highlighting how modern Deep RL has surpassed traditional methods that ensured policy convergence but restricted real-world applications. She addressed the growing challenges of transparency and explainability in RL, which remain underexplored despite increased attention in the broader Machine Learning field.
Her presentation provided a comprehensive overview of state-of-the-art approaches, including policy distillation, formal guarantees, and the fairness implications of RL systems. This discussion reinforced PEER’s commitment to advancing trustworthy AI and human-AI collaboration.
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