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The Fixed Points of Off-Policy TD
Off-policy learning, the ability for an agent to learn about a policy other than the one it is following, is a key element of Reinforcement Learning, and in recent years there has been much work on developing Temporal Different (TD) algorithms that are guaranteed to converge under off-policy sampling.
Energy Disaggregation via Discriminative Sparse Coding
Energy disaggregation is the task of taking a whole-home energy signal and separating it into its component appliances.
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