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Planning with Expectation Models for Control
Our algorithms and experiments are the first to treat MBRL with expectation models in a general setting.
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
In this article we argue for the domain of voice document editing and for the methods of model-based reinforcement learning.
Model-based Reinforcement Learning
reinforcement-learning
+1
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task
Human-computer interactive systems that rely on machine learning are becoming paramount to the lives of millions of people who use digital assistants on a daily basis.
