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Found 2 papers, 1 papers with code
An Optimization Framework for Task Sequencing in Curriculum Learning
In reinforcement learning, all previous task sequencing methods have shaped exploration with the objective of reducing the time to reach a given performance level.
Curriculum Learning for Cumulative Return Maximization
We propose a task sequencing algorithm maximizing the cumulative return, that is, the return obtained by the agent across all the learning episodes.
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