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Preparing Smart Environments for Life in the Wild: Feature-space and Multi-view Heterogeneous Transfer Learning
With the ever-increasing abundance of sensing and computing devices embedded into our environments we have the opportunity to create personalized activity recognition ecosystems. Two key challenges must first be overcome, ...
Knowledge Transfer in Reinforcement Learning: How agents should benefit from prior knowledge
Reinforcement learning (RL) has had many successes in different tasks, but in practice, it often requires significant amounts of data or training time to learn high-performing policies. For complicated tasks, the learning ...