Obserwuj
Kaixiang Lin
Kaixiang Lin
Applied scientist, Amazon AGI
Zweryfikowany adres z msu.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Transfer learning in deep reinforcement learning: A survey
Z Zhu, K Lin, AK Jain, J Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
7502023
Differentially private generative adversarial network
L Xie, K Lin, S Wang, F Wang, J Zhou
arXiv preprint arXiv:1802.06739, 2018
6522018
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
K Lin, R Zhao, Z Xu, J Zhou
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge, 2018
5132018
Off-policy imitation learning from observations
Z Zhu, K Lin, B Dai, J Zhou
Advances in Neural Information Processing Systems 33, 12402-12413, 2020
912020
Powernet: Multi-agent deep reinforcement learning for scalable powergrid control
D Chen, K Chen, Z Li, T Chu, R Yao, F Qiu, K Lin
IEEE Transactions on Power Systems 37 (2), 1007-1017, 2021
822021
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following
X Gao, Q Gao, R Gong, K Lin, G Thattai, GS Sukhatme
IEEE Robotics Autom. Lett., 2022
762022
A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg
Z Qu, K Lin, Z Li, J Zhou, Z Zhou
Journal of Artificial Intelligence Research 78, 1143-1200, 2023
68*2023
Privacy-preserving distributed multi-task learning with asynchronous updates
L Xie, IM Baytas, K Lin, J Zhou
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
592017
Rca: A deep collaborative autoencoder approach for anomaly detection
B Liu, D Wang, K Lin, PN Tan, J Zhou
IJCAI: proceedings of the conference 2021, 1505, 2021
412021
Multi-Task Feature Interaction Learning
K Lin, J Xu, IM Baytas, S Ji, J Zhou
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
382016
Collaborative deep reinforcement learning
K Lin, S Wang, J Zhou
arXiv preprint arXiv:1702.05796, 2017
332017
Phenotree: Interactive visual analytics for hierarchical phenotyping from large-scale electronic health records
IM Baytas, K Lin, F Wang, AK Jain, J Zhou
IEEE Transactions on Multimedia 18 (11), 2257-2270, 2016
242016
Bootstrapping llm-based task-oriented dialogue agents via self-talk
D Ulmer, E Mansimov, K Lin, J Sun, X Gao, Y Zhang
arXiv preprint arXiv:2401.05033, 2024
202024
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine
J Xu, K Lin, PN Tan, J Zhou
2016 SIAM International Conference on Data Mining (SDM16), 108-116, 2016
182016
LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
Y Zhao, K Lin, Z Jia, Q Gao, G Thattai, J Thomason, GS Sukhatme
NeurIPS 2021 (CtrlGen Workshop), 2021
172021
Learning to Act with Affordance-Aware Multimodal Neural SLAM
Z Jia, K Lin, Y Zhao, Q Gao, G Thattai, G Sukhatme
IROS 2022, 2022
162022
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations
Z Zhu, K Lin, B Dai, J Zhou
arXiv preprint arXiv:2004.00530, 2020
152020
Ranking Policy Gradient
K Lin, J Zhou
ICLR 2020, 2019
132019
Self-adaptive imitation learning: learning tasks with delayed rewards from sub-optimal demonstrations
Z Zhu, K Lin, B Dai, J Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 9269-9277, 2022
122022
Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management
K Lin, R Zhao, Z Xu, J Zhou
arXiv preprint arXiv:1802.06444, 2018
122018
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