
Fairness for Cooperative MultiAgent Learning with Equivariant Policies
We study fairness through the lens of cooperative multiagent learning. ...
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Local Disentanglement in Variational AutoEncoders Using Jacobian L_1 Regularization
There have been many recent advances in representation learning; however...
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Learning Continuous CosttoGo Functions for Nonholonomic Systems
This paper presents a supervised learning method to generate continuous ...
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CosttoGo Function Generating Networks for High Dimensional Motion Planning
This paper presents c2gHOF networks which learn to generate costtogo ...
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LowBandwidth Communication Emerges Naturally in MultiAgent Learning Systems
In this work, we study emergent communication through the lens of cooper...
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Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors
This paper presents a Dynamic Vision Sensor (DVS) based system for reaso...
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Learning to Generate CosttoGo Functions for Efficient Motion Planning
Traditional motion planning is computationally burdensome for practical ...
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GeodesicHOF: 3D Reconstruction Without Cutting Corners
Singleview 3D object reconstruction is a challenging fundamental proble...
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Nearchip Dynamic Vision Filtering for LowBandwidth Pedestrian Detection
This paper presents a novel endtoend system for pedestrian detection u...
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Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks
We address the problem of generating a highresolution surface reconstru...
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Learning Qnetwork for Active Information Acquisition
In this paper, we propose a novel Reinforcement Learning approach for so...
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Higher Order Function Networks for View Planning and MultiView Reconstruction
We consider the problem of planning views for a robot to acquire images ...
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HigherOrder Function Networks for Learning Composable 3D Object Representations
We present a method to represent 3D objects using higher order functions...
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Probabilistically Safe Corridors to Guide SamplingBased Motion Planning
In this paper, we introduce a new probabilistically safe local steering ...
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UNet for MAVbased Penstock Inspection: an Investigation of Focal Loss in Multiclass Segmentation for Corrosion Identification
Periodical inspection and maintenance of critical infrastructure such as...
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Learning Optimal Resource Allocations in Wireless Systems
This paper considers the design of optimal resource allocation policies ...
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Learning Implicit Sampling Distributions for Motion Planning
Samplingbased motion planners have experienced much success due to thei...
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Nearest neighbor density functional estimation based on inverse Laplace transform
A general approach to L_2consistent estimation of various density funct...
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Scalable Centralized Deep MultiAgent Reinforcement Learning via Policy Gradients
In this paper, we explore using deep reinforcement learning for problems...
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Bayesian Qlearning with Assumed Density Filtering
While offpolicy temporal difference methods have been broadly used in r...
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Classification and Geometry of General Perceptual Manifolds
Perceptual manifolds arise when a neural population responds to an ensem...
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Memory Augmented Control Networks
Planning problems in partially observable environments cannot be solved ...
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Learning Data Manifolds with a Cutting Plane Method
We consider the problem of classifying data manifolds where each manifol...
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Linear Readout of Object Manifolds
Objects are represented in sensory systems by continuous manifolds due t...
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Belief Flows of Robust Online Learning
This paper introduces a new probabilistic model for online learning whic...
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An Adversarial Interpretation of InformationTheoretic Bounded Rationality
Recently, there has been a growing interest in modeling planning with in...
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Learning Discriminative Metrics via Generative Models and Kernel Learning
Metrics specifying distances between data points can be learned in a dis...
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Daniel D. Lee
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