More from the Same Authors

• 2021 : Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation »
  Ramtin Keramati · Omer Gottesman · Leo Celi · Finale Doshi-Velez · Emma Brunskill
• 2022 Workshop: Reinforcement Learning for Real Life (RL4RealLife) Workshop »
  Yuxi Li · Emma Brunskill · MINMIN CHEN · Omer Gottesman · Lihong Li · Yao Liu · Zhiwei Tony Qin · Matthew Taylor
• 2022 Poster: Oracle Inequalities for Model Selection in Offline Reinforcement Learning »
  Jonathan N Lee · George Tucker · Ofir Nachum · Bo Dai · Emma Brunskill
• 2022 Poster: Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits »
  Tong Mu · Yash Chandak · Tatsunori Hashimoto · Emma Brunskill
• 2022 Poster: Off-Policy Evaluation for Action-Dependent Non-stationary Environments »
  Yash Chandak · Shiv Shankar · Nathaniel Bastian · Bruno da Silva · Emma Brunskill · Philip Thomas
• 2022 Poster: Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data »
  Allen Nie · Yannis Flet-Berliac · Deon Jordan · William Steenbergen · Emma Brunskill
• 2022 Poster: Giving Feedback on Interactive Student Programs with Meta-Exploration »
  Evan Liu · Moritz Stephan · Allen Nie · Chris Piech · Emma Brunskill · Chelsea Finn
• 2021 : Retrospective Panel »
  Sergey Levine · Nando de Freitas · Emma Brunskill · Finale Doshi-Velez · Nan Jiang · Rishabh Agarwal
• 2021 : Safe RL Debate »
  Sylvia Herbert · Animesh Garg · Emma Brunskill · Aleksandra Faust · Dylan Hadfield-Menell
• 2021 Poster: Play to Grade: Testing Coding Games as Classifying Markov Decision Process »
  Allen Nie · Emma Brunskill · Chris Piech
• 2021 Poster: Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes »
  HyunJi Alex Nam · Scott Fleming · Emma Brunskill
• 2021 Poster: Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning »
  Andrea Zanette · Martin J Wainwright · Emma Brunskill
• 2021 Poster: Universal Off-Policy Evaluation »
  Yash Chandak · Scott Niekum · Bruno da Silva · Erik Learned-Miller · Emma Brunskill · Philip Thomas
• 2021 Poster: Design of Experiments for Stochastic Contextual Linear Bandits »
  Andrea Zanette · Kefan Dong · Jonathan N Lee · Emma Brunskill
• 2020 : Counterfactuals and Offline RL »
  Emma Brunskill
• 2020 : Q & A and Panel Session with Dan Weld, Kristen Grauman, Scott Yih, Emma Brunskill, and Alex Ratner »
  Kristen Grauman · Wen-tau Yih · Alexander Ratner · Emma Brunskill · Douwe Kiela · Daniel S. Weld
• 2020 : Panel »
  Emma Brunskill · Nan Jiang · Nando de Freitas · Finale Doshi-Velez · Sergey Levine · John Langford · Lihong Li · George Tucker · Rishabh Agarwal · Aviral Kumar
• 2020 : Mini-panel discussion 1 - Bridging the gap between theory and practice »
  Aviv Tamar · Emma Brunskill · Jost Tobias Springenberg · Omer Gottesman · Daniel Mankowitz
• 2020 : Keynote: Emma Brunskill »
  Emma Brunskill
• 2020 : Panel discussion on minimizing bias in machine learning in education »
  Neil Heffernan · Osonde A. Osoba · Emma Brunskill · Kathi Fisler
• 2020 Poster: Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding »
  Hongseok Namkoong · Ramtin Keramati · Steve Yadlowsky · Emma Brunskill
• 2020 Poster: Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration »
  Andrea Zanette · Alessandro Lazaric · Mykel J Kochenderfer · Emma Brunskill
• 2020 Poster: Provably Good Batch Reinforcement Learning Without Great Exploration »
  Yao Liu · Adith Swaminathan · Alekh Agarwal · Emma Brunskill
• 2019 : Invited Talk »
  Emma Brunskill
• 2019 : Poster and Coffee Break 1 »
  Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova
• 2019 Poster: Offline Contextual Bandits with High Probability Fairness Guarantees »
  Blossom Metevier · Stephen Giguere · Sarah Brockman · Ari Kobren · Yuriy Brun · Emma Brunskill · Philip Thomas
• 2019 Poster: Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model »
  Andrea Zanette · Mykel J Kochenderfer · Emma Brunskill
• 2019 Poster: Limiting Extrapolation in Linear Approximate Value Iteration »
  Andrea Zanette · Alessandro Lazaric · Mykel J Kochenderfer · Emma Brunskill
• 2018 Poster: Representation Balancing MDPs for Off-policy Policy Evaluation »
  Yao Liu · Omer Gottesman · Aniruddh Raghu · Matthieu Komorowski · Aldo Faisal · Finale Doshi-Velez · Emma Brunskill
• 2018 Demonstration: Automatic Curriculum Generation Applied to Teaching Novices a Short Bach Piano Segment »
  Emma Brunskill · Tong Mu · Karan Goel · Jonathan Bragg
• 2017 : Panel Discussion »
  Matt Botvinick · Emma Brunskill · Marcos Campos · Jan Peters · Doina Precup · David Silver · Josh Tenenbaum · Roy Fox
• 2017 : Sample efficiency and off policy hierarchical RL (Emma Brunskill) »
  Emma Brunskill
• 2017 : Emma Brunskill (Stanford) »
  Emma Brunskill
• 2017 : Invited Talk »
  Emma Brunskill
• 2017 Poster: Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation »
  Zhaohan Guo · Philip S. Thomas · Emma Brunskill
• 2017 Poster: Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning »
  Christoph Dann · Tor Lattimore · Emma Brunskill
• 2017 Spotlight: Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning »
  Christoph Dann · Tor Lattimore · Emma Brunskill
• 2017 Tutorial: Reinforcement Learning with People »
  Emma Brunskill