Multiagent inverse reinforcement learning for two-person zero-sum games X Lin, PA Beling, R Cogill IEEE Transactions on Games 10 (1), 56-68, 2017 | 71 | 2017 |
Multi-agent Inverse Reinforcement Learning for Certain General-sum Stochastic Games X Lin, SC Adams, PA Beling Journal of Artificial Intelligence Research 66, 473 - 502, 2019 | 46 | 2019 |
Multi-agent inverse reinforcement learning for zero-sum games X Lin, PA Beling, R Cogill arXiv preprint arXiv:1403.6508, 2014 | 18 | 2014 |
Multi-agent inverse reinforcement learning for general-sum stochastic games X Lin, SC Adams, PA Beling arXiv preprint arXiv:1806.09795, 2018 | 7 | 2018 |
Comparison of Multi-agent and Single-agent Inverse Learning on a Simulated Soccer Example X Lin, PA Beling, R Cogill arXiv preprint arXiv:1403.6822, 2014 | 6 | 2014 |
Gaussian processes non‐linear inverse reinforcement learning Q Qiao, X Lin IET Cyber‐Systems and Robotics 3 (2), 150-163, 2021 | 2 | 2021 |
The application of 3D deterministic approach to signal estimation in the case that several antenna elements are missing in a uniform 1-D array X Lin, S Burintramart, TK Sarkar, Y Zhang 2009 IEEE Antennas and Propagation Society International Symposium, 1-4, 2009 | 2 | 2009 |
Systems and methods for dynamic adjustment of computer models X Lin, M Girard, M Crough, P Wang, A Fox, R Greif US Patent 11,544,598, 2023 | 1 | 2023 |
Data model monitoring system A Fox, S Merritt, X Gu, X Lin, H Carlotto US Patent 11,128,737, 2021 | 1 | 2021 |
Optimization of the end-fire beam pattern of two-dimensional dipole array W Zhao, A De, Y Zhang, X Lin, TK Sarkar 2008 IEEE Antennas and Propagation Society International Symposium, 1-4, 2008 | 1 | 2008 |
Systems and methods for dynamic adjustment of computer models X Lin, M Girard, M Crough, P Wang, A Fox, R Greif US Patent 11,853,913, 2023 | | 2023 |
Impact of jammers on the CRLB of the SOI estimation X Lin, S Burintramart, TK Sarkar, X Yang 2009 IEEE Antennas and Propagation Society International Symposium, 1-4, 2009 | | 2009 |