검색결과 : 20건
| No. | Article |
|---|---|
| 1 |
Stochastic Approximation for Risk-Aware Markov Decision Processes Huang WJ, Haskell WB IEEE Transactions on Automatic Control, 66(3), 1314, 2021 |
| 2 |
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 |
| 3 |
Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning Subramanian J, Mahajan A IEEE Transactions on Automatic Control, 65(8), 3663, 2020 |
| 4 |
Finite-State Approximations to Discounted and Average Cost Constrained Markov Decision Processes Saldi N IEEE Transactions on Automatic Control, 64(7), 2681, 2019 |
| 5 |
Learning Policies for Markov Decision Processes From Data Hanawal MK, Liu H, Zhu HH, Paschalidis IC IEEE Transactions on Automatic Control, 64(6), 2298, 2019 |
| 6 |
On the Structure and Computation of Random Walk Times in Finite Graphs Clark A, Alomair B, Bushnell L, Poovendran R IEEE Transactions on Automatic Control, 64(11), 4470, 2019 |
| 7 |
A Linearly Relaxed Approximate Linear Program for Markov Decision Processes Lakshminarayanan C, Bhatnagar S, Szepesvari C IEEE Transactions on Automatic Control, 63(4), 1185, 2018 |
| 8 |
Sufficient Conditions for the Value Function and Optimal Strategy to be Even and Quasi-Convex Chakravorty J, Mahajan A IEEE Transactions on Automatic Control, 63(11), 3858, 2018 |
| 9 |
Efficient Algorithms for Budget-Constrained Markov Decision Processes Caramanis C, Dimitrov NB, Morton DP IEEE Transactions on Automatic Control, 59(10), 2813, 2014 |
| 10 |
On State Aggregation to Approximate Complex Value Functions in Large-Scale Markov Decision Processes Jia QS IEEE Transactions on Automatic Control, 56(2), 333, 2011 |