Jesse Zhang | DeepAI

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Featured Co-authors

Sergey Levine
379 publications
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242 publications
Chelsea Finn
167 publications
Hao Wu
145 publications
Soheil Feizi
76 publications
Alan F. Smeaton
68 publications
Yu Yang
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David Tse
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Dinesh Jayaraman
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Jiahui Zhang
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∙ 06/20/2023

SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling

Pre-training robot policies with a rich set of skills can substantially ...

0 Jesse Zhang, et al. ∙

∙ 03/09/2023

Hierarchical Neural Program Synthesis

Program synthesis aims to automatically construct human-readable program...

0 Linghan Zhong, et al. ∙

∙ 08/31/2021

Learning to Synthesize Programs as Interpretable and Generalizable Policies

Recently, deep reinforcement learning (DRL) methods have achieved impres...

11 Dweep Trivedi, et al. ∙

∙ 04/27/2021

TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains

The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video anal...

2 George Awad, et al. ∙

∙ 03/20/2021

Greenplum: A Hybrid Database for Transactional and Analytical Workloads

Demand for enterprise data warehouse solutions to support real-time Onli...

0 Zhenghua Lyu, et al. ∙

∙ 01/16/2021

Hierarchical Reinforcement Learning By Discovering Intrinsic Options

We propose a hierarchical reinforcement learning method, HIDIO, that can...

0 Jesse Zhang, et al. ∙

∙ 10/27/2020

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

Reinforcement learning has been applied to a wide variety of robotics pr...

0 Avi Singh, et al. ∙

∙ 09/21/2020

TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search Retrieval

The TREC Video Retrieval Evaluation (TRECVID) 2019 was a TREC-style vide...

0 George Awad, et al. ∙

∙ 08/15/2020

Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings

Reinforcement learning (RL) in real-world safety-critical target setting...

7 Jesse Zhang, et al. ∙

∙ 09/30/2019

Unsupervised Projection Networks for Generative Adversarial Networks

We propose the use of unsupervised learning to train projection networks...

55 Daiyaan Arfeen, et al. ∙

∙ 05/17/2019

REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning

Standardized evaluation measures have aided in the progress of machine l...

0 Brian Yang, et al. ∙

∙ 10/05/2017

Porcupine Neural Networks: (Almost) All Local Optima are Global

Neural networks have been used prominently in several machine learning a...

0 Soheil Feizi, et al. ∙

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