검색결과 : 110건
No. | Article |
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1 |
On Passivity, Reinforcement Learning, and Higher Order Learning in Multiagent Finite Games Gao BL, Pavel L IEEE Transactions on Automatic Control, 66(1), 121, 2021 |
2 |
Optimal peak shifting of a domestic load connected to utility grid using storage battery based on deepQ-learningnetwork Al-Gablawy M International Journal of Energy Research, 45(2), 3269, 2021 |
3 |
Optimization of DEM parameters using multi-objective reinforcement learning Westbrink F, Elbel A, Schwung A, Ding SX Powder Technology, 379, 602, 2021 |
4 |
A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs Haskell WB, Jain R, Sharma H, Yu PQ IEEE Transactions on Automatic Control, 65(1), 115, 2020 |
5 |
Data-Driven Economic NMPC Using Reinforcement Learning Gros S, Zanon M IEEE Transactions on Automatic Control, 65(2), 636, 2020 |
6 |
Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning Subramanian J, Mahajan A IEEE Transactions on Automatic Control, 65(8), 3663, 2020 |
7 |
Inverse Risk-Sensitive Reinforcement Learning Ratliff LJ, Mazumdar E IEEE Transactions on Automatic Control, 65(3), 1256, 2020 |
8 |
Finding the Equilibrium for Continuous Constrained Markov Games Under the Average Criteria Jiang XF, Chen SW, Yang J, Hu H, Zhang ZL IEEE Transactions on Automatic Control, 65(12), 5399, 2020 |
9 |
Q-Learning based Maximum Power Extraction for Wind Energy Conversion System With Variable Wind Speed Kushwaha A, Gopal M, Singh B IEEE Transactions on Energy Conversion, 35(3), 1160, 2020 |
10 |
A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system Kim JW, Park BJ, Yoo H, Oh TH, Lee JH, Lee JM Journal of Process Control, 87, 166, 2020 |