Juiced and Ready to Predict Private Information in Deep Cooperative Reinforcement Learning
Training robots that can interactively assist humans with private information
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Yaqi wins the 2020 Research Achievement Award.
Yaqi Xie is awarded the Research Achievement Award for his NeurIPS 2019 paper on Embedding symbolic knowledge into deep networks.
Embedding Symbolic Knowledge into Deep Networks
Leveraging prior symbolic knowledge to improve the performance of deep models.
Applying Probabilistic Programming to Affective Computing
We propose a probabilistic programming approach to affective computing.
Robot Capability and Intention in Trust-based Decisions across Tasks
We present results from a human-subject study designed to explore two facets of human mental models of robots - inferred capability and intention - and their relationship to overall trust and eventual decisions.
Harold wins Faculty Teaching Award!
Harold was awarded the faculty teaching award for the year 18/19!