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Workshop on New Directions in Reinforcement Learning and Con

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Lightning Talks - Chi Jin, Lin Yang, Alec Koppel, Karan Singh, Nataly Brukhim

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Risk and robustness in RL: Nothing ventured, nothing gained - Shie Mannor

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Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning - Sham Kakade

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Deep Reinforcement Learning in the Real World -Sergey Levine

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Strategic Exploration via State Abstraction from Rich Observations - John Langford

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The Non-Stochastic Control Problem - Elad Hazan

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Unsupervised state embedding and aggregation towards scalable reinforcement learning - Mengdi Wang

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Lightning Talks - Galen Cho, Christina Yu, Cyril Zhang, Laura Balzano, Max Simchovitz

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Robust Control with Perception in the Loop: Towards Open-World Manipulation -Russ Tedrake

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Towards Structural Risk Minimization for RL - Emma Brunskill

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