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Invited Talk by Alessandro Lazaric
Alessandro Lazaric
Fri Jul 23 06:30 AM -- 07:00 AM (PDT) @
Author Information
Alessandro Lazaric (Facebook AI Research)
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2021 : Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection »
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2021 : A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs »
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2021 : Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret »
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2021 : Exploration-Driven Representation Learning in Reinforcement Learning »
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2023 Poster: Layered State Discovery for Incremental Autonomous Exploration »
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2022 Workshop: Responsible Decision Making in Dynamic Environments »
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2022 Poster: Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times »
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2022 Spotlight: Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times »
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2021 Poster: Leveraging Good Representations in Linear Contextual Bandits »
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2021 Spotlight: Leveraging Good Representations in Linear Contextual Bandits »
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2021 Poster: Reinforcement Learning with Prototypical Representations »
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2021 Spotlight: Reinforcement Learning with Prototypical Representations »
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2020 Poster: No-Regret Exploration in Goal-Oriented Reinforcement Learning »
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2020 Poster: Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation »
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2020 Poster: Learning Near Optimal Policies with Low Inherent Bellman Error »
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2020 Poster: Meta-learning with Stochastic Linear Bandits »
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2020 Poster: Near-linear time Gaussian process optimization with adaptive batching and resparsification »
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2018 Poster: Improved large-scale graph learning through ridge spectral sparsification »
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2018 Oral: Improved large-scale graph learning through ridge spectral sparsification »
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2018 Poster: Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning »
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2018 Poster: Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems »
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2018 Oral: Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems »
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