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Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training
The objective of non-parallel text style transfer, or controllable text generation, is to alter specific attributes (e. g. sentiment, mood, tense, politeness, etc) of a given text while preserving its remaining attributes and content.
Online Reinforcement Learning in Stochastic Games
We study online reinforcement learning in average-reward stochastic games (SGs).
Tracking the Best Expert in Non-stationary Stochastic Environments
We study the dynamic regret of multi-armed bandit and experts problem in non-stationary stochastic environments.
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