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05/13/2020
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning
Traditional distributed deep reinforcement learning (RL) commonly relies...
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research
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05/13/2020
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Leargning
Traditional distributed deep reinforcement learning (RL) commonly relies...
research
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04/27/2020
Demo: A Reinforcement Learning-based Flexible Duplex System for B5G with Sub-6 GHz
In this paper, we propose a reinforcement learning-based flexible duplex...
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08/16/2019
Distilling On-Device Intelligence at the Network Edge
Devices at the edge of wireless networks are the last mile data sources ...
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07/15/2019
Federated Reinforcement Distillation with Proxy Experience Memory
In distributed reinforcement learning, it is common to exchange the expe...
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02/04/2018
Sense-and-Predict: Harnessing Spatial Interference Correlation for Opportunistic Access in Cognitive Radio Networks
Cognitive radio (CR) is a key enabler realizing 5G networks to achieve h...
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01/22/2018
