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Model Embedding Model-Based Reinforcement Learning
Model-based reinforcement learning (MBRL) has shown its advantages in sa...
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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...
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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...
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Depth Completion via Deep Basis Fitting
In this paper we consider the task of image-guided depth completion wher...
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Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
We consider the networked multi-agent reinforcement learning (MARL) prob...
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Projection-Free Algorithms in Statistical Estimation
Frank-Wolfe algorithm (FW) and its variants have gained a surge of inter...
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Communication-Efficient Projection-Free Algorithm for Distributed Optimization
Distributed optimization has gained a surge of interest in recent years....
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Nonlinear Distributional Gradient Temporal-Difference Learning
We devise a distributional variant of gradient temporal-difference (TD) ...
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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...
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Fast Global Convergence via Landscape of Empirical Loss
While optimizing convex objective (loss) functions has been a powerhouse...
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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 ...
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SAGA and Restricted Strong Convexity
SAGA is a fast incremental gradient method on the finite sum problem and...
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Linear convergence of SDCA in statistical estimation
In this paper, we consider stochastic dual coordinate (SDCA) without st...
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Linear Convergence of SVRG in Statistical Estimation
SVRG and its variants are among the state of art optimization algorithms...
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Dynamic Facial Expression of Emotion Made Easy
Facial emotion expression for virtual characters is used in a wide varie...
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