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2020 – today
- 2023
[c9]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- [c8]Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith:
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft. NeurIPS 2023 - [c7]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 - [i12]Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith:
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft. CoRR abs/2306.00937 (2023) - [i11]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 abs/2312.09187 (2023) - 2022
- [c6]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: 1769-1782 - [i10]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 abs/2207.05608 (2022) - [i9]Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba:
Large Language Models Are Human-Level Prompt Engineers. CoRR abs/2211.01910 (2022) - [i8]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 abs/2211.11736 (2022) - 2021
- [c5]Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba:
Learning Domain Invariant Representations in Goal-conditioned Block MDPs. NeurIPS 2021: 764-776 - [i7]Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba:
Learning Domain Invariant Representations in Goal-conditioned Block MDPs. CoRR abs/2110.14248 (2021) - 2020
- [c4]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: 3621-3631 - [c3]Harris Chan, Jamie Kiros, William Chan:
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. EMNLP (Findings) 2020: 4208-4220 - [c2]Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba:
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. ICLR 2020 - [c1]Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba:
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. ICML 2020: 7750-7761 - [i6]Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba:
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. CoRR abs/2002.05825 (2020) - [i5]Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba:
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. CoRR abs/2007.02832 (2020) - [i4]Harris Chan, Jamie Kiros, William Chan:
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. CoRR abs/2010.04438 (2020)
2010 – 2019
- 2019
- [i3]Harris Chan, Yuhuai Wu, Jamie Kiros, Sanja Fidler, Jimmy Ba:
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning. CoRR abs/1902.04546 (2019) - [i2]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 abs/1902.08234 (2019) - 2018
- [i1]Harris Chan, Atef Chaudhury, Kevin Shen:
Are You Sure You Want To Do That? Classification with Verification. CoRR abs/1809.02652 (2018)
Coauthor Index
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