Invited Speakers
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Emo Todorov University of Washington |
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Pablo Parrilo Massachusetts Institute of Technology |
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Alekh Agarwal Microsoft Research Sample-Efficient Exploration in Reinforcement Learning with Rich Observations |
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Csaba Szepesvári University of Alberta Politex - Towards Stable and Efficient Reinforcement Learning Algorithms that Generalize |
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Mengdi Wang Princeton University Reinforcement Learning From Small Data in Feature Space |
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Necmiye Ozay University of Michigan Non-Asymptotic Analysis of a Classical System Identification Algorithm |
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Ben Recht University of California, Berkeley Characterizing Uncertainty in Perception for Control |
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Yishay Mansour Tel Aviv University Linear Quadratic Control and Online Learning |
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Emma Brunskill Stanford University Batch / Counterfactual Reinforcement Learning |
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Yinyu Ye Stanford University Further Developments on Online Linear Programming and Learning |
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Daniel Russo Columbia University Exploration via Randomized Value Functions |
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Byron Boots Georgia Institute of Technology An Online Learning Approach to Model Predictive Control |
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Vikash Kumar Google Brain |