Harris Chan | DeepAI

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Featured Co-authors

Sergey Levine
379 publications
Sanja Fidler
126 publications
Igor Mordatch
55 publications
Fei Xia
53 publications
Jimmy Ba
46 publications
Yuhuai Wu
40 publications
Andy Zeng
40 publications
Karol Hausman
38 publications
William Chan
37 publications
Jonathan Tompson
33 publications
Guodong Zhang
26 publications

∙ 06/01/2023

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

Constructing AI models that respond to text instructions is challenging,...

0 Shalev Lifshitz, et al. ∙

∙ 11/21/2022

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models

In recent years, much progress has been made in learning robotic manipul...

0 Ted Xiao, et al. ∙

∙ 11/03/2022

Large Language Models Are Human-Level Prompt Engineers

By conditioning on natural language instructions, large language models ...

0 Yongchao Zhou, et al. ∙

∙ 07/12/2022

Inner Monologue: Embodied Reasoning through Planning with Language Models

Recent works have shown how the reasoning capabilities of Large Language...

8 Wenlong Huang, et al. ∙

∙ 10/27/2021

Learning Domain Invariant Representations in Goal-conditioned Block MDPs

Deep Reinforcement Learning (RL) is successful in solving many complex M...

5 Beining Han, et al. ∙

∙ 10/09/2020

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

A channel corresponds to a viewpoint or transformation of an underlying ...

6 Harris Chan, et al. ∙

∙ 07/06/2020

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

What goals should a multi-goal reinforcement learning agent pursue durin...

0 Silviu Pitis, et al. ∙

∙ 02/14/2020

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

Distances are pervasive in machine learning. They serve as similarity me...

9 Silviu Pitis, et al. ∙

∙ 02/21/2019

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

The choice of batch-size in a stochastic optimization algorithm plays a ...

0 Yeming Wen, et al. ∙

∙ 02/12/2019

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

Sparse reward is one of the most challenging problems in reinforcement l...

6 Harris Chan, et al. ∙

∙ 09/07/2018

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

Classification systems typically act in isolation, meaning they are requ...

0 Harris Chan, et al. ∙

∙ 09/07/2018

Are You Sure YouWant To Do That? Classification with Verification

Classification systems typically act in isolation, meaning they are requ...

0 Harris Chan, et al. ∙

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