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Author Information
Rosemary Nan Ke (MILA, University of Montreal)
I am a PhD student at Mila, I am advised by Chris Pal and Yoshua Bengio. My research interest are efficient credit assignment, causal learning and model-based reinforcement learning. Here is my homepage https://nke001.github.io/
Danijar Hafner (Google Brain & University of Toronto)
Pieter Abbeel (UC Berkeley)
Chelsea Finn (Google)
Chelsea Finn (Stanford, Google)

Chelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University. Finn's research interests lie in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. To this end, her work has included deep learning algorithms for concurrently learning visual perception and control in robotic manipulation skills, inverse reinforcement methods for learning reward functions underlying behavior, and meta-learning algorithms that can enable fast, few-shot adaptation in both visual perception and deep reinforcement learning. Finn received her Bachelor's degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley. Her research has been recognized through the ACM doctoral dissertation award, the Microsoft Research Faculty Fellowship, the C.V. Ramamoorthy Distinguished Research Award, and the MIT Technology Review 35 under 35 Award, and her work has been covered by various media outlets, including the New York Times, Wired, and Bloomberg. Throughout her career, she has sought to increase the representation of underrepresented minorities within CS and AI by developing an AI outreach camp at Berkeley for underprivileged high school students, a mentoring program for underrepresented undergraduates across four universities, and leading efforts within the WiML and Berkeley WiCSE communities of women researchers.
More from the Same Authors
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2020 : Evaluating Agents without Rewards »
Danijar Hafner -
2021 : Discovering and Achieving Goals with World Models »
Russell Mendonca · Oleh Rybkin · Kostas Daniilidis · Danijar Hafner · Deepak Pathak -
2021 : Intrinsic Control of Variational Beliefs in Dynamic Partially-Observed Visual Environments »
Nicholas Rhinehart · Jenny Wang · Glen Berseth · John Co-Reyes · Danijar Hafner · Chelsea Finn · Sergey Levine -
2022 : You Only Live Once: Single-Life Reinforcement Learning via Learned Reward Shaping »
Annie Chen · Archit Sharma · Sergey Levine · Chelsea Finn -
2022 : Learning to induce causal structure »
Rosemary Nan Ke · Silvia Chiappa · Jane Wang · Jorg Bornschein · Anirudh Goyal · Melanie Rey · Matthew Botvinick · Theophane Weber · Michael Mozer · Danilo J. Rezende -
2022 : On the Generalization and Adaption Performance of Causal Models »
Nino Scherrer · Anirudh Goyal · Stefan Bauer · Yoshua Bengio · Rosemary Nan Ke -
2022 : P28: On the Generalization and Adaption Performance of Causal Models »
Rosemary Nan Ke -
2023 Poster: Temporally Consistent Transformers for Video Generation »
Wilson Yan · Danijar Hafner · Stephen James · Pieter Abbeel -
2022 : Session 1: New Reasoning Problems and Modes of Reasoning »
Robert Ness · Rosemary Nan Ke · Armando Solar-Lezama -
2021 : Invited Talk by Pieter Abbeel »
Pieter Abbeel -
2021 : Invited Talk by Chelsea Finn »
Chelsea Finn -
2021 : Invited Talk by Nan Rosemary Ke »
Rosemary Nan Ke -
2021 : Invited Talk by Danijar Hafner »
Danijar Hafner -
2021 Poster: Catformer: Designing Stable Transformers via Sensitivity Analysis »
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang -
2021 Spotlight: Catformer: Designing Stable Transformers via Sensitivity Analysis »
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang -
2020 Workshop: Inductive Biases, Invariances and Generalization in Reinforcement Learning »
Anirudh Goyal · Rosemary Nan Ke · Jane Wang · Stefan Bauer · Theophane Weber · Fabio Viola · Bernhard Schölkopf · Stefan Bauer -
2020 Poster: Planning to Explore via Self-Supervised World Models »
Ramanan Sekar · Oleh Rybkin · Kostas Daniilidis · Pieter Abbeel · Danijar Hafner · Deepak Pathak -
2020 Poster: Hierarchically Decoupled Imitation For Morphological Transfer »
Donald Hejna · Lerrel Pinto · Pieter Abbeel -
2019 : Chelsea Finn: "A Practical View on Generalization and Autonomy in the Real World" »
Chelsea Finn -
2019 : Meta-Learning: Challenges and Frontiers (Chelsea Finn) »
Chelsea Finn -
2019 Workshop: ICML Workshop on Imitation, Intent, and Interaction (I3) »
Nicholas Rhinehart · Sergey Levine · Chelsea Finn · He He · Ilya Kostrikov · Justin Fu · Siddharth Reddy -
2019 Workshop: Workshop on Multi-Task and Lifelong Reinforcement Learning »
Sarath Chandar · Shagun Sodhani · Khimya Khetarpal · Tom Zahavy · Daniel J. Mankowitz · Shie Mannor · Balaraman Ravindran · Doina Precup · Chelsea Finn · Abhishek Gupta · Amy Zhang · Kyunghyun Cho · Andrei A Rusu · Facebook Rob Fergus -
2019 : Panel Discussion (Nati Srebro, Dan Roy, Chelsea Finn, Mikhail Belkin, Aleksander Mądry, Jason Lee) »
Nati Srebro · Daniel Roy · Chelsea Finn · Mikhail Belkin · Aleksander Madry · Jason Lee -
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 : Keynote by Chelsea Finn: Training for Generalization »
Chelsea Finn -
2019 Poster: Learning Latent Dynamics for Planning from Pixels »
Danijar Hafner · Timothy Lillicrap · Ian Fischer · Ruben Villegas · David Ha · Honglak Lee · James Davidson -
2019 Oral: Learning Latent Dynamics for Planning from Pixels »
Danijar Hafner · Timothy Lillicrap · Ian Fischer · Ruben Villegas · David Ha · Honglak Lee · James Davidson -
2019 Poster: Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables »
Kate Rakelly · Aurick Zhou · Chelsea Finn · Sergey Levine · Deirdre Quillen -
2019 Oral: Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables »
Kate Rakelly · Aurick Zhou · Chelsea Finn · Sergey Levine · Deirdre Quillen -
2019 Poster: Learning a Prior over Intent via Meta-Inverse Reinforcement Learning »
Kelvin Xu · Ellis Ratner · Anca Dragan · Sergey Levine · Chelsea Finn -
2019 Poster: Online Meta-Learning »
Chelsea Finn · Aravind Rajeswaran · Sham Kakade · Sergey Levine -
2019 Oral: Learning a Prior over Intent via Meta-Inverse Reinforcement Learning »
Kelvin Xu · Ellis Ratner · Anca Dragan · Sergey Levine · Chelsea Finn -
2019 Oral: Online Meta-Learning »
Chelsea Finn · Aravind Rajeswaran · Sham Kakade · Sergey Levine -
2019 Tutorial: Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning »
Chelsea Finn · Sergey Levine -
2018 Poster: Focused Hierarchical RNNs for Conditional Sequence Processing »
Rosemary Nan Ke · Konrad Zolna · Alessandro Sordoni · Zhouhan Lin · Adam Trischler · Yoshua Bengio · Joelle Pineau · Laurent Charlin · Christopher Pal -
2018 Oral: Focused Hierarchical RNNs for Conditional Sequence Processing »
Rosemary Nan Ke · Konrad Zolna · Alessandro Sordoni · Zhouhan Lin · Adam Trischler · Yoshua Bengio · Joelle Pineau · Laurent Charlin · Christopher Pal -
2018 Poster: Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control »
Aravind Srinivas · Allan Jabri · Pieter Abbeel · Sergey Levine · Chelsea Finn -
2018 Oral: Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control »
Aravind Srinivas · Allan Jabri · Pieter Abbeel · Sergey Levine · Chelsea Finn -
2017 : Panel Discussion »
Balaraman Ravindran · Chelsea Finn · Alessandro Lazaric · Katja Hofmann · Marc Bellemare -
2017 : Talk »
Chelsea Finn -
2017 Workshop: Reproducibility in Machine Learning Research »
Rosemary Nan Ke · Anirudh Goyal · Alex Lamb · Joelle Pineau · Samy Bengio · Yoshua Bengio -
2017 Poster: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks »
Chelsea Finn · Pieter Abbeel · Sergey Levine -
2017 Talk: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks »
Chelsea Finn · Pieter Abbeel · Sergey Levine -
2017 Tutorial: Deep Reinforcement Learning, Decision Making, and Control »
Sergey Levine · Chelsea Finn