Chao Qu

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University of Pennsylvania

Model Embedding Model-Based Reinforcement Learning

Model-based reinforcement learning (MBRL) has shown its advantages in sa...
06/16/2020 ∙ by Xiaoyu Tan, et al. ∙ 0 ∙ share

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Intention Propagation for Multi-agent Reinforcement Learning

A hallmark of an AI agent is to mimic human beings to understand and int...
04/19/2020 ∙ by Chao Qu, et al. ∙ 11 ∙ share

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SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory

This paper describes an end-to-end pipeline for tree diameter estimation...
12/29/2019 ∙ by Steven W. Chen, et al. ∙ 22 ∙ share

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Depth Completion via Deep Basis Fitting

In this paper we consider the task of image-guided depth completion wher...
12/21/2019 ∙ by Chao Qu, et al. ∙ 11 ∙ share

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Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning

We consider the networked multi-agent reinforcement learning (MARL) prob...
01/27/2019 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Projection-Free Algorithms in Statistical Estimation

Frank-Wolfe algorithm (FW) and its variants have gained a surge of inter...
05/20/2018 ∙ by Yan Li, et al. ∙ 0 ∙ share

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Communication-Efficient Projection-Free Algorithm for Distributed Optimization

Distributed optimization has gained a surge of interest in recent years....
05/20/2018 ∙ by Yan Li, et al. ∙ 0 ∙ share

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Nonlinear Distributional Gradient Temporal-Difference Learning

We devise a distributional variant of gradient temporal-difference (TD) ...
05/20/2018 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion

We present a novel fruit counting pipeline that combines deep segmentati...
04/01/2018 ∙ by Xu Liu, et al. ∙ 0 ∙ share

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Fast Global Convergence via Landscape of Empirical Loss

While optimizing convex objective (loss) functions has been a powerhouse...
02/13/2018 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Fast, Autonomous Flight in GPS-Denied and Cluttered Environments

One of the most challenging tasks for a flying robot is to autonomously ...
12/06/2017 ∙ by Kartik Mohta, et al. ∙ 0 ∙ share

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SAGA and Restricted Strong Convexity

SAGA is a fast incremental gradient method on the finite sum problem and...
02/19/2017 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Linear convergence of SDCA in statistical estimation

In this paper, we consider stochastic dual coordinate (SDCA) without st...
01/26/2017 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Linear Convergence of SVRG in Statistical Estimation

SVRG and its variants are among the state of art optimization algorithms...
11/07/2016 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Dynamic Facial Expression of Emotion Made Easy

Facial emotion expression for virtual characters is used in a wide varie...
11/19/2012 ∙ by Joost Broekens, et al. ∙ 0 ∙ share

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Chao Qu

Featured Co-authors

Shie Mannor

Le Song

Chang Liu

Hui Li

Davide Scaramuzza

Kostas Daniilidis

Yan Li

Huan Xu

Ke Sun

Vijay Kumar

Yuan Qi

Model Embedding Model-Based Reinforcement Learning

Intention Propagation for Multi-agent Reinforcement Learning

SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory

Depth Completion via Deep Basis Fitting

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning

Projection-Free Algorithms in Statistical Estimation

Communication-Efficient Projection-Free Algorithm for Distributed Optimization

Nonlinear Distributional Gradient Temporal-Difference Learning

Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion

Fast Global Convergence via Landscape of Empirical Loss

Fast, Autonomous Flight in GPS-Denied and Cluttered Environments

SAGA and Restricted Strong Convexity

Linear convergence of SDCA in statistical estimation

Linear Convergence of SVRG in Statistical Estimation

Dynamic Facial Expression of Emotion Made Easy