Are You Sure You Want To Do That? Classification with Verification. - Harris Chan; Atef Chaudhury; Kevin Shen (CoRR, 2018)

ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning. - Harris Chan; Yuhuai Wu; Jamie Kiros; Sanja Fidler; Jimmy Ba (CoRR, 2019)

Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise. - Yeming Wen; Kevin Luk; Maxime Gazeau; Guodong Zhang 006; Harris Chan; Jimmy Ba (CoRR, 2019)

An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise. - Yeming Wen; Kevin Luk; Maxime Gazeau; Guodong Zhang 006; Harris Chan; Jimmy Ba (AISTATS, 2020)

Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. - Harris Chan; Jamie Kiros; William Chan (EMNLP (Findings), 2020)

An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. - Silviu Pitis; Harris Chan; Kiarash Jamali; Jimmy Ba (ICLR, 2020)

Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. - Silviu Pitis; Harris Chan; Stephen Zhao; Bradly C. Stadie; Jimmy Ba (ICML, 2020)

Learning Domain Invariant Representations in Goal-conditioned Block MDPs. - Beining Han; Chongyi Zheng; Harris Chan; Keiran Paster; Michael R. Zhang; Jimmy Ba (NeurIPS, 2021)

Inner Monologue: Embodied Reasoning through Planning with Language Models. - Wenlong Huang; Fei Xia 002; Ted Xiao; Harris Chan; Jacky Liang; Pete Florence; Andy Zeng 001; Jonathan Tompson; Igor Mordatch; Yevgen Chebotar; Pierre Sermanet; Tomas Jackson; et al. (CoRL, 2022)

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

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

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. - Ted Xiao; Harris Chan; Pierre Sermanet; Ayzaan Wahid; Anthony Brohan; Karol Hausman; Sergey Levine; Jonathan Tompson (Robotics: Science and Systems, 2023)

Vision-Language Models as a Source of Rewards. - 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; et al. (CoRR, 2023)

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations. - Anian Ruoss; Fabio Pardo; Harris Chan; Bonnie Li; Volodymyr Mnih; Tim Genewein (CoRR, 2024)