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Emma Brunskill (Stanford) - Minimizing & Understanding the Data Needed to Learn to Make Good Sequences of Decisions
Emma Brunskill
Fri Jun 14 02:00 PM -- 02:30 PM (PDT) @
Author Information
Emma Brunskill (Stanford University)
More from the Same Authors
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2021 : Model-based Offline Reinforcement Learning with Local Misspecification »
Kefan Dong · Ramtin Keramati · Emma Brunskill -
2021 : Estimating Optimal Policy Value in Linear Contextual Bandits beyond Gaussianity »
Jonathan Lee · Weihao Kong · Aldo Pacchiano · Vidya Muthukumar · Emma Brunskill -
2021 : Avoiding Overfitting to the Importance Weights in Offline Policy Optimization »
Yao Liu · Emma Brunskill -
2021 : Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning »
Andrea Zanette · Martin Wainwright · Emma Brunskill -
2022 : Giving Complex Feedback in Online Student Learning with Meta-Exploration »
Evan Liu · Moritz Stephan · Allen Nie · Chris Piech · Emma Brunskill · Chelsea Finn -
2022 : Giving Feedback on Interactive Student Programs with Meta-Exploration »
Evan Liu · Moritz Stephan · Allen Nie · Chris Piech · Emma Brunskill · Chelsea Finn -
2022 : Giving Complex Feedback in Online Student Learning with Meta-Exploration »
Evan Liu · Moritz Stephan · Allen Nie · Chris Piech · Emma Brunskill · Chelsea Finn -
2022 : Invited Talk: Emma Brunskill »
Emma Brunskill -
2021 : Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning »
Andrea Zanette · Martin Wainwright · Emma Brunskill -
2020 Workshop: Theoretical Foundations of Reinforcement Learning »
Emma Brunskill · Thodoris Lykouris · Max Simchowitz · Wen Sun · Mengdi Wang -
2020 Poster: Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions »
Omer Gottesman · Joseph Futoma · Yao Liu · Sonali Parbhoo · Leo Celi · Emma Brunskill · Finale Doshi-Velez -
2020 Poster: Learning Near Optimal Policies with Low Inherent Bellman Error »
Andrea Zanette · Alessandro Lazaric · Mykel Kochenderfer · Emma Brunskill -
2020 Poster: Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling »
Yao Liu · Pierre-Luc Bacon · Emma Brunskill -
2019 Workshop: Exploration in Reinforcement Learning Workshop »
Benjamin Eysenbach · Benjamin Eysenbach · Surya Bhupatiraju · Shixiang Gu · Harrison Edwards · Martha White · Pierre-Yves Oudeyer · Kenneth Stanley · Emma Brunskill -
2019 : panel discussion with Craig Boutilier (Google Research), Emma Brunskill (Stanford), Chelsea Finn (Google Brain, Stanford, UC Berkeley), Mohammad Ghavamzadeh (Facebook AI), John Langford (Microsoft Research) and David Silver (Deepmind) »
Peter Stone · Craig Boutilier · Emma Brunskill · Chelsea Finn · John Langford · David Silver · Mohammad Ghavamzadeh -
2019 Poster: Combining parametric and nonparametric models for off-policy evaluation »
Omer Gottesman · Yao Liu · Scott Sussex · Emma Brunskill · Finale Doshi-Velez -
2019 Oral: Combining parametric and nonparametric models for off-policy evaluation »
Omer Gottesman · Yao Liu · Scott Sussex · Emma Brunskill · Finale Doshi-Velez -
2019 Poster: Policy Certificates: Towards Accountable Reinforcement Learning »
Christoph Dann · Lihong Li · Wei Wei · Emma Brunskill -
2019 Poster: Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds »
Andrea Zanette · Emma Brunskill -
2019 Poster: Separable value functions across time-scales »
Joshua Romoff · Peter Henderson · Ahmed Touati · Yann Ollivier · Joelle Pineau · Emma Brunskill -
2019 Oral: Policy Certificates: Towards Accountable Reinforcement Learning »
Christoph Dann · Lihong Li · Wei Wei · Emma Brunskill -
2019 Oral: Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds »
Andrea Zanette · Emma Brunskill -
2019 Oral: Separable value functions across time-scales »
Joshua Romoff · Peter Henderson · Ahmed Touati · Yann Ollivier · Joelle Pineau · Emma Brunskill -
2018 Poster: Decoupling Gradient-Like Learning Rules from Representations »
Philip Thomas · Christoph Dann · Emma Brunskill -
2018 Oral: Decoupling Gradient-Like Learning Rules from Representations »
Philip Thomas · Christoph Dann · Emma Brunskill -
2018 Poster: Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs »
Andrea Zanette · Emma Brunskill -
2018 Oral: Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs »
Andrea Zanette · Emma Brunskill