검색결과 : 6건
| No. | Article |
|---|---|
| 1 |
Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning Subramanian J, Mahajan A IEEE Transactions on Automatic Control, 65(8), 3663, 2020 |
| 2 |
GLOBAL CONVERGENCE OF POLICY GRADIENT METHODS TO (ALMOST) LOCALLY OPTIMAL POLICIES Zhang KQ, Koppel A, Zhu H, Basar T SIAM Journal on Control and Optimization, 58(6), 3586, 2020 |
| 3 |
Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus Wu YK, Tan HC, Peng JK, Zhang HL, He HW Applied Energy, 247, 454, 2019 |
| 4 |
Sequential Decision Making With Coherent Risk Tamar A, Chow Y, Ghavamzadeh M, Mannor S IEEE Transactions on Automatic Control, 62(7), 3323, 2017 |
| 5 |
Optimization of Markov decision processes under the variance criterion Xia L Automatica, 73, 269, 2016 |
| 6 |
Natural actor-critic algorithms Bhatnagar S, Sutton RS, Ghavamzadeh M, Lee M Automatica, 45(11), 2471, 2009 |