Chan, Harris

19 publications

ICML 2025 LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein

ICLRW 2025 LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein

ICMLW 2023 A Generative Model for Text Control in Minecraft Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith

ICMLW 2023 A Generative Model for Text Control in Minecraft (Abridged Version) Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith

ICLR 2023 Large Language Models Are Human-Level Prompt Engineers Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba

NeurIPS 2023 STEVE-1: A Generative Model for Text-to-Behavior in Minecraft Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith

NeurIPSW 2023 STEVE-1: A Generative Model for Text-to-Behavior in Minecraft Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith

NeurIPSW 2023 STEVE-1: A Generative Model for Text-to-Behavior in Minecraft (Abridged Version) Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith

NeurIPSW 2023 Vision-Language Models as a Source of Rewards Kate Baumli, Satinder Singh, Feryal Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, 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 M Zhang

CoRL 2022 Inner Monologue: Embodied Reasoning Through Planning with Language Models 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

NeurIPSW 2022 Large Language Models Are Human-Level Prompt Engineers Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba

NeurIPSW 2022 Skill Acquisition by Instruction Augmentation on Offline Datasets Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson

NeurIPSW 2022 Steering Large Language Models Using APE Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba

NeurIPSW 2022 Temporary Goals for Exploration Haoyang Xu, Jimmy Ba, Silviu Pitis, Harris Chan

NeurIPSW 2022 Temporary Goals for Exploration Haoyang Xu, Jimmy Ba, Silviu Pitis, Harris Chan

NeurIPS 2021 Learning Domain Invariant Representations in Goal-Conditioned Block MDPs Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael Zhang, Jimmy Ba

AISTATS 2020 An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba

ICLR 2020 An Inductive Bias for Distances: Neural Nets That Respect the Triangle Inequality Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba

ICML 2020 Maximum Entropy Gain Exploration for Long Horizon Multi-Goal Reinforcement Learning Silviu Pitis, Harris Chan, Stephen Zhao, Bradly Stadie, Jimmy Ba