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Intermediate. Assumes working knowledge.
154K views5 years ago4 recommendations
AI and machine learningComputer scienceReinforcement learningNeural networks and deep learningComputation and complexity
Kenneth Stanley discusses open-endedness, novelty search, and why objective-driven optimization can hinder breakthrough discoveries in AI and life.
Professor Kenneth Stanley is currently a research science manager at OpenAI in San Fransisco. We've Been dreaming about getting Kenneth on the show since the very begininning of Machine Learning Street Talk. Some of you might recall that our first ever show was on the enhanced POET paper, of course Kenneth had his hands all over it. He's been cited over 16000 times, his most popular paper with over 3K citations was the NEAT algorithm. His interests are neuroevolution, open-endedness, NNs, artificial life, and AI. He invented the concept of novelty search with no clearly defined objective. His key idea is that there is a tyranny of objectives prevailing in every aspect of our lives, society and indeed our algorithms. Crucially, these objectives produce convergent behaviour and thinking and distract us from discovering stepping stones which will lead to greatness. He thinks that this monotonic objective obsession, this idea that we need to continue to improve benchmarks every year is dangerous. He wrote about this in detail in his recent book "greatness can not be planned" which will be the main topic of discussion in the show. We also cover his ideas on open endedness in machine learning. Intro to Kenneth Show structure disclaimer Passionate discussion Why greatness cant be planned and the tyranny of objectives Chinese Finger Trap Perverse Incentives and feedback loops Deception Maze example How can we define curiosity or interestingness Open endedness ICML 2019 and Yannic, POET, first MSLST evolutionary algorithms++ POET, the first MLST A lesson to GOFAI people Machine Learning -- the great stagnation Actual scientific successes are usually luck, and against the odds -- Biontech Picbreeder and NEAT How Tim applies these ideas to his life and why he runs MLST Keith Skit about UCF Main show kick off Why does Kenneth value serendipitous exploration so much Scientific support for Kenneth's ideas in normal life We should drop objectives to achieve them. An oxymoron? Isn't this just resource allocation between exploration and exploitation? Are objectives merely a matter of degree? How do we allocate funds for treasure hunting in society A keen nose for what is interesting, and voting can be dangerous Committees are the antithesis of innovation Does Kenneth apply these ideas to his real life? Divergence vs interestingness vs novelty vs complexity Picbreeder Isn't everything novel in some sense? Imagine if there was no selection pressure? Is innovation == environment exploitation? Is it possible to take shortcuts if you already knew what the innovations were? Go Explore -- does the algorithm encodeWhat people say. Recommended as a mind-expanding discussion on open-endedness and the limitations of objective-driven optimization in machine learning.
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