Generation meets recommendation: proposing novel items for groups of users
We present an approach to generate new items for groups of users based on their interaction history.
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Efficiently Exploring Reward Functions in Inverse RL
Using Bayesian Optimization to address the ill-posed nature of Inverse Reinforcement Learning
Harold wins Faculty Teaching Award 17/18!
Harold was awarded the faculty teaching award for the year 17/18! A first time win.
