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RI Seminar
Improving Robot and Deep Reinforcement Learning via Quality Diversity and Open-Ended Algorithms
Gates Hillman Center 6115Abstract: Quality Diversity (QD) algorithms are those that seek to produce a diverse set of high-performing solutions to problems. I will describe them and a number of their positive attributes. I will then summarize our Nature paper on how they, when combined with Bayesian Optimization, produce a learning algorithm that enables robots, after being damaged, to adapt in 1-2 minutes [...]