167 citations · 502 across the 33 of their papers we have counts for
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cs.LG2021★ 149 cited
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
Wei Zhou, Dong Chen, Jun Yan +3
Autonomous driving has attracted significant research interests in the past two decades as it offers many potential benefits, including releasing drivers from exhausting driving an…
cs.LG2020★ 1 cited
A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg
Zhaonan Qu, Kaixiang Lin, Zhaojian Li +2
Federated learning (FL) learns a model jointly from a set of participating devices without sharing each other's privately held data. The characteristics of non-i.i.d. data across t…
cs.LG2019★ 4 cited
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
Tianshu Chu, Jie Wang, Lara Codecà +1
Reinforcement learning (RL) is a promising data-driven approach for adaptive traffic signal control (ATSC) in complex urban traffic networks, and deep neural networks further enhan…