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05/31/2022
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud
Predictive autoscaling (autoscaling with workload forecasting) is an imp...
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03/15/2022
DSOL: A Fast Direct Sparse Odometry Scheme
In this paper, we describe Direct Sparse Odometry Lite (DSOL), an improv...
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01/29/2022
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
We consider a sequential decision making problem where the agent faces t...
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10/04/2021
LLOL: Low-Latency Odometry for Spinning Lidars
In this paper, we present a low-latency odometry system designed for spi...
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09/14/2021
Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy
In this letter, we propose an integrated autonomous flight and semantic ...
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03/29/2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty
In this work we investigate the problem of uncertainty estimation for im...
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06/16/2020
Model Embedding Model-Based Reinforcement Learning
Model-based reinforcement learning (MBRL) has shown its advantages in sa...
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04/19/2020
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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12/29/2019
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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12/21/2019
Depth Completion via Deep Basis Fitting
In this paper we consider the task of image-guided depth completion wher...
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01/27/2019
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
We consider the networked multi-agent reinforcement learning (MARL) prob...
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05/20/2018
Projection-Free Algorithms in Statistical Estimation
Frank-Wolfe algorithm (FW) and its variants have gained a surge of inter...
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05/20/2018
Communication-Efficient Projection-Free Algorithm for Distributed Optimization
Distributed optimization has gained a surge of interest in recent years....
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05/20/2018
Nonlinear Distributional Gradient Temporal-Difference Learning
We devise a distributional variant of gradient temporal-difference (TD) ...
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04/01/2018
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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02/13/2018
Fast Global Convergence via Landscape of Empirical Loss
While optimizing convex objective (loss) functions has been a powerhouse...
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12/06/2017
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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02/19/2017
SAGA and Restricted Strong Convexity
SAGA is a fast incremental gradient method on the finite sum problem and...
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01/26/2017
Linear convergence of SDCA in statistical estimation
In this paper, we consider stochastic dual coordinate (SDCA) without st...
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11/07/2016
Linear Convergence of SVRG in Statistical Estimation
SVRG and its variants are among the state of art optimization algorithms...
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11/19/2012
