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Yixuan Lin
Yixuan Lin
PhD Candidate at Stony Brook University
Verified email at stonybrook.edu - Homepage
Title
Cited by
Cited by
Year
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning*
Y Lin, K Zhang, Z Yang, Z Wang, T Başar, R Sandhu, J Liu
2019 IEEE 58th Conference on Decision and Control (CDC), 5562-5567, 2019
392019
Toward resilient multi-agent actor-critic algorithms for distributed reinforcement learning
Y Lin, S Gade, R Sandhu, J Liu
2020 American Control Conference (ACC), 3953-3958, 2020
152020
Differentially private federated temporal difference learning
Y Zeng, Y Lin, Y Yang, J Liu
IEEE Transactions on Parallel and Distributed Systems 33 (11), 2714-2726, 2021
52021
Finite-time error bounds for distributed linear stochastic approximation
Y Lin, V Gupta, J Liu
Automatica 159, 111368, 2024
42024
Subgradient-push is of the optimal convergence rate
Y Lin, J Liu
2022 IEEE 61st Conference on Decision and Control (CDC), 5849-5856, 2022
42022
On a discrete-time network SIS model with opinion dynamics
Y Lin, W Xuan, R Ren, J Liu
2021 60th IEEE Conference on Decision and Control (CDC), 2098-2103, 2021
42021
Resilient consensus-based multi-agent reinforcement learning with function approximation
M Figura, Y Lin, J Liu, V Gupta
arXiv preprint arXiv:2111.06776, 2021
42021
Reaching a consensus with limited information
J Zhu, Y Lin, J Liu, AS Morse
Systems & Control Letters 176, 105524, 2023
32023
Resilient Distributed Optimization*
J Zhu, Y Lin, A Velasquez, J Liu
2023 American Control Conference (ACC), 1307-1312, 2023
32023
Resilient constrained consensus over complete graphs via feasibility redundancy
J Zhu, Y Lin, A Velasquez, J Liu
2022 American Control Conference (ACC), 3418-3422, 2022
22022
Resilient Consensus-based Multi-agent Reinforcement Learning
M Figura, Y Lin, J Liu, V Gupta
arXiv preprint arXiv:2111.06776, 2021
22021
Cooperative Actor-Critic via TD Error Aggregation
M Figura, Y Lin, J Liu, V Gupta
arXiv preprint arXiv:2207.12533, 2022
12022
An asynchronous multi-agent actor-critic algorithm for distributed reinforcement learning
Y Lin, Y Luo, K Zhang, Z Yang, Z Wang, T Basar, R Sandhu, J Liu
NeurIPS Optimization Foundations for Reinforcement Learning Workshop, 2019
12019
An Analysis Tool for Push-Sum Based Distributed Optimization
Y Lin, J Liu
arXiv preprint arXiv:2304.09443, 2023
2023
Heterogeneous Distributed Subgradient
Y Lin, J Liu
arXiv preprint arXiv:2303.17060, 2023
2023
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Articles 1–15