Divergent Algorithms Exploration
Kenneth delves into the realm of divergent algorithms, highlighting the Quality Diversity approach and its novelty-seeking nature. He discusses the current state of open-ended learning and the challenges in surpassing the innovative capabilities of the Poet algorithm.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]
Related Questions
Is reinforcement learning a turning point for large language models (LLMs) and artificial intelligence (AI) as discussed in the episodes The Future of Machine Learning, Deep Learning and Computer Vision with Thomas Dietterich and Automating Scientific Discovery, and in the episode Exploring Open-Ended Algorithms: POET and the clip Evolving Learning Frameworks?
How is machine learning evolving?