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06/14/2023
A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand
Despite the prevalence of wireless connectivity in urban areas around th...
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11/20/2022
Mission-Aware Value of Information Censoring for Distributed Filtering
In this paper, we study the problem of distributed estimation with an em...
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10/27/2022
Multi-task Bias-Variance Trade-off Through Functional Constraints
Multi-task learning aims to acquire a set of functions, either regressor...
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04/01/2022
Distributed Filtering with Value of Information Censoring
This work presents a distributed estimation algorithm that efficiently u...
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03/02/2022
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation
We present the first distributed optimization algorithm with lazy commun...
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03/08/2021
Constrained Learning with Non-Convex Losses
Though learning has become a core technology of modern information proce...
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02/24/2021
Towards Safe Continuing Task Reinforcement Learning
Safety is a critical feature of controller design for physical systems. ...
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02/23/2021
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards
Constrained reinforcement learning involves multiple rewards that must i...
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01/25/2021
ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators
Multi-agent systems play an important role in modern robotics. Due to th...
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10/24/2020
Multi-task Supervised Learning via Cross-learning
In this paper we consider a problem known as multi-task learning, consis...
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02/12/2020
The empirical duality gap of constrained statistical learning
This paper is concerned with the study of constrained statistical learni...
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02/07/2020
Mobile Wireless Network Infrastructure on Demand
In this work, we introduce Mobile Wireless Infrastructure on Demand: a f...
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11/20/2019
Safe Policies for Reinforcement Learning via Primal-Dual Methods
In this paper, we study the learning of safe policies in the setting of ...
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10/29/2019
Constrained Reinforcement Learning Has Zero Duality Gap
Autonomous agents must often deal with conflicting requirements, such as...
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01/30/2018
