Jingwei Zhang

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Hikvision ∙ National University of Singapore ∙ The University of Sydney ∙ University of Freiburg ∙ Columbia University

Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning

Traffic signal controllers play an essential role in the traffic system,...
03/09/2020 ∙ by Shengchao Yan, et al. ∙ 14 ∙ share

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Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration

Exploration in sparse reward reinforcement learning remains a difficult ...
03/18/2019 ∙ by Jingwei Zhang, et al. ∙ 12 ∙ share

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Neural SLAM: Learning to Explore with External Memory

We present an approach for agents to learn representations of a global m...
06/29/2017 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

In this paper we consider the problem of robot navigation in simple maze...
12/16/2016 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections

Weak topic correlation across document collections with different number...
08/19/2015 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

We present an approach for mobile robots to learn to navigate in pedestr...
10/06/2017 ∙ by Lei Tai, et al. ∙ 0 ∙ share

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On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier

We study the rates of convergence from empirical surrogate risk minimize...
02/11/2018 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control

This paper deals with the reality gap from a novel perspective, targetin...
02/01/2018 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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An Information-Theoretic View for Deep Learning

Deep learning has transformed the computer vision, natural language proc...
04/24/2018 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning

This paper investigates exploration strategies of Deep Reinforcement Lea...
04/02/2018 ∙ by Oleksii Zhelo, et al. ∙ 0 ∙ share

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UAV-Enabled Radio Access Network: Multi-Mode Communication and Trajectory Design

In this paper, we consider an unmanned aerial vehicle (UAV)-enabled radi...
05/18/2018 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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An Optimal Transport View on Generalization

We derive upper bounds on the generalization error of learning algorithm...
11/08/2018 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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Theoretical Analysis of Adversarial Learning: A Minimax Approach

We propose a general theoretical method for analyzing the risk bound in ...
11/13/2018 ∙ by Zhuozhuo Tu, et al. ∙ 0 ∙ share

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Linear Complexity of A Family of Binary pq^2-periodic Sequences From Euler Quotients

We first introduce a family of binary pq^2-periodic sequences based on t...
06/19/2019 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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Receding Horizon Optimization for Energy-Efficient UAV Communication

In this letter, we study a wireless communication system with a fixed-wi...
07/24/2019 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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Generalization Bounds for Convolutional Neural Networks

Convolutional neural networks (CNNs) have achieved breakthrough performa...
10/03/2019 ∙ by Shan Lin, et al. ∙ 0 ∙ share

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Multi-Modality Cascaded Fusion Technology for Autonomous Driving

Multi-modality fusion is the guarantee of the stability of autonomous dr...
02/08/2020 ∙ by Hongwu Kuang, et al. ∙ 0 ∙ share

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Multi-Antenna UAV Data Harvesting: Joint Trajectory and Communication Optimization

Unmanned aerial vehicle (UAV)-enabled communication is a promising techn...
02/23/2020 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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Jingwei Zhang

Featured Co-authors

Dacheng Tao

Rui Zhang

Ming Liu

Wolfram Burgard

Tongliang Liu

Xiaodong Liu

Jost Tobias Springenberg

Yong Zeng

Lei Tai

Joschka Boedecker

James Evans

Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning

Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration

Neural SLAM: Learning to Explore with External Memory

Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections

Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier

VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control

An Information-Theoretic View for Deep Learning

Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning

UAV-Enabled Radio Access Network: Multi-Mode Communication and Trajectory Design

An Optimal Transport View on Generalization

Theoretical Analysis of Adversarial Learning: A Minimax Approach

Linear Complexity of A Family of Binary pq^2-periodic Sequences From Euler Quotients

Receding Horizon Optimization for Energy-Efficient UAV Communication

Generalization Bounds for Convolutional Neural Networks

Multi-Modality Cascaded Fusion Technology for Autonomous Driving

Multi-Antenna UAV Data Harvesting: Joint Trajectory and Communication Optimization