Harris Chan

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Triangle Inequality

Top Venues

Publications

Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft. CoRR (2023)
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba
Large Language Models are Human-Level Prompt Engineers. ICLR (2023)
Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. Robotics: Science and Systems (2023)
Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft. NeurIPS (2023)
Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang
Vision-Language Models as a Source of Rewards. CoRR (2023)
Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. CoRR (2022)
Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Tomas Jackson, Noah Brown, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRL (2022)
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba
Large Language Models Are Human-Level Prompt Engineers. CoRR (2022)
Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRR (2022)
Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba
Learning Domain Invariant Representations in Goal-conditioned Block MDPs. CoRR (2021)
Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba
Learning Domain Invariant Representations in Goal-conditioned Block MDPs. NeurIPS (2021)
Harris Chan, Jamie Kiros, William Chan
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. CoRR (2020)
Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. ICLR (2020)
Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. ICML (2020)
Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. CoRR (2020)
Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. CoRR (2020)
Harris Chan, Jamie Kiros, William Chan
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. EMNLP (Findings) (2020)
Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise. AISTATS (2020)
Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise. CoRR (2019)
Harris Chan, Yuhuai Wu, Jamie Kiros, Sanja Fidler, Jimmy Ba
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning. CoRR (2019)
Harris Chan, Atef Chaudhury, Kevin Shen
Are You Sure You Want To Do That? Classification with Verification. CoRR (2018)