More from the Same Authors

• 2021 : Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection »
  Matteo Papini · Andrea Tirinzoni · Aldo Pacchiano · Marcello Restelli · Alessandro Lazaric · Matteo Pirotta
• 2021 : A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs »
  Andrea Tirinzoni · Matteo Pirotta · Alessandro Lazaric
• 2021 : Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret »
  Jean Tarbouriech · Jean Tarbouriech · Simon Du · Matteo Pirotta · Michal Valko · Alessandro Lazaric
• 2021 : A general sample complexity analysis of vanilla policy gradient »
  Rui Yuan · Robert Gower · Alessandro Lazaric
• 2021 : Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching »
  Pierre-Alexandre Kamienny · Jean Tarbouriech · Alessandro Lazaric · Ludovic Denoyer
• 2021 : Exploration-Driven Representation Learning in Reinforcement Learning »
  Akram Erraqabi · Mingde Zhao · Marlos C. Machado · Yoshua Bengio · Sainbayar Sukhbaatar · Ludovic Denoyer · Alessandro Lazaric
• 2022 Workshop: Responsible Decision Making in Dynamic Environments »
  Virginie Do · Thorsten Joachims · Alessandro Lazaric · Joelle Pineau · Matteo Pirotta · Harsh Satija · Nicolas Usunier
• 2022 Poster: Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times »
  Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco
• 2022 Spotlight: Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times »
  Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco
• 2021 Poster: Leveraging Good Representations in Linear Contextual Bandits »
  Matteo Papini · Andrea Tirinzoni · Marcello Restelli · Alessandro Lazaric · Matteo Pirotta
• 2021 Spotlight: Leveraging Good Representations in Linear Contextual Bandits »
  Matteo Papini · Andrea Tirinzoni · Marcello Restelli · Alessandro Lazaric · Matteo Pirotta
• 2021 Poster: Reinforcement Learning with Prototypical Representations »
  Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
• 2021 Spotlight: Reinforcement Learning with Prototypical Representations »
  Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
• 2020 Poster: No-Regret Exploration in Goal-Oriented Reinforcement Learning »
  Jean Tarbouriech · Evrard Garcelon · Michal Valko · Matteo Pirotta · Alessandro Lazaric
• 2020 Poster: Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation »
  Marc Abeille · Alessandro Lazaric
• 2020 Poster: Learning Near Optimal Policies with Low Inherent Bellman Error »
  Andrea Zanette · Alessandro Lazaric · Mykel Kochenderfer · Emma Brunskill
• 2020 Poster: Meta-learning with Stochastic Linear Bandits »
  Leonardo Cella · Alessandro Lazaric · Massimiliano Pontil
• 2020 Poster: Near-linear time Gaussian process optimization with adaptive batching and resparsification »
  Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco
• 2018 Poster: Improved large-scale graph learning through ridge spectral sparsification »
  Daniele Calandriello · Alessandro Lazaric · Ioannis Koutis · Michal Valko
• 2018 Oral: Improved large-scale graph learning through ridge spectral sparsification »
  Daniele Calandriello · Alessandro Lazaric · Ioannis Koutis · Michal Valko
• 2018 Poster: Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning »
  Ronan Fruit · Matteo Pirotta · Alessandro Lazaric · Ronald Ortner
• 2018 Poster: Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems »
  Marc Abeille · Alessandro Lazaric
• 2018 Oral: Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems »
  Marc Abeille · Alessandro Lazaric
• 2018 Oral: Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning »
  Ronan Fruit · Matteo Pirotta · Alessandro Lazaric · Ronald Ortner