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Sunil Mallya is the director of engineering at CollectiveHealth, a leading healthcare startup. In today's enterprise landscape, software development often resembles a game of telephone. Business users articulate needs, and—after those needs go through layers of marketing, product and engineering teams—the final solution frequently misses the mark. The result? Expensive rework, frustrated users and technical debt that haunts organizations for years.
Accelerating learning processes for complex tasks by leveraging previously learned tasks has been one of the most challenging problems in reinforcement learning, especially when the similarity between source and target tasks is low. This work proposes REPresentation And INstance Transfer (REPAINT) algorithm for knowledge transfer in deep reinforcement learning.
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