Harris Chan

According to our database, Harris Chan authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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, 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

CoRR, 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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft.

Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Models are Human-Level Prompt Engineers.

Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Conference on Robot Learning, 2022

2021

Learning Domain Invariant Representations in Goal-conditioned Block MDPs.

Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning.

Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba

Proceedings of the 37th International Conference on Machine Learning, 2020

An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality.

Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba

Proceedings of the 8th International Conference on Learning Representations, 2020

Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels.

Harris Chan, Jamie Kiros, William Chan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise.

Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise.

Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba

CoRR, 2019

ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning.

Harris Chan, Yuhuai Wu, Jamie Kiros, Sanja Fidler, Jimmy Ba

CoRR, 2019

2018

Are You Sure You Want To Do That? Classification with Verification.

Harris Chan, Atef Chaudhury, Kevin Shen

CoRR, 2018