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Found 3 papers, 2 papers with code
Building a Legal Dialogue System: Development Process, Challenges and Opportunities
This includes a training dataset, set of predetermined responses for the conversational agent, a set of regression test cases and a further conversation test set.
Unified Framework for the Adaptive Operator Selection of Discrete Parameters
In addition to simplifying, we looked at the commonality among AOS methods from literature to generalise them.
Deep Reinforcement Learning Based Parameter Control in Differential Evolution
Second, when DDQN is applied as a parameter controller within DE to a different test set of benchmark functions, DDQN uses the trained neural network to predict which mutation strategy should be applied to each parent at each generation according to the DE state.
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