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02/18/2022
DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors
Most existing multi-agent reinforcement learning (MARL) methods are limi...
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01/05/2022
Dynamic Coded Distributed Convolution for UAV-based Networked Airborne Computing
A single unmanned aerial vehicle (UAV) has limited computing resources a...
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09/10/2021
Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty
Collision avoidance is an essential concern for the autonomous operation...
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04/15/2021
Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing
Mobile ad hoc computing (MAHC), which allows mobile devices to directly ...
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01/07/2021
Coding for Distributed Multi-Agent Reinforcement Learning
This paper aims to mitigate straggler effects in synchronous distributed...
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12/29/2019
