2 citations · 3 across the 4 of their papers we have counts for
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cs.LG2020
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning
Han Cha, Jihong Park, Hyesung Kim +2
Traditional distributed deep reinforcement learning (RL) commonly relies on exchanging the experience replay memory (RM) of each agent. Since the RM contains all state observations…
cs.NI2020
Demo: A Reinforcement Learning-based Flexible Duplex System for B5G with Sub-6 GHz
Soo-Min Kim, Han Cha, Seong-Lyun Kim +1
In this paper, we propose a reinforcement learning-based flexible duplex system for B5G with Sub-6 GHz. This system combines full-duplex radios and dynamic spectrum access to maxim…