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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.

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.

Planning with Trust for Human-Robot Collaboration

Robot decision-making with Human Trust.