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ORCIDDiscrete Event Dynamic Systems, Volume 13
Volume 13, Number 1-2, January 2003
- Yu-Chi Ho:
Foreword to the Learning, Optimization, and Decision Making in DEDS. 5 - Xi-Ren Cao:
Introduction to the Special Issue on Learning, Optimization, and Decision Making in DEDS. 7-8 - Xi-Ren Cao:
From Perturbation Analysis to Markov Decision Processes and Reinforcement Learning. 9-39 - Andrew G. Barto, Sridhar Mahadevan:
Recent Advances in Hierarchical Reinforcement Learning. 41-77 - Angelia Nedic
, Dimitri P. Bertsekas:
Least Squares Policy Evaluation Algorithms with Linear Function Approximation. 79-110 - Peter Marbach, John N. Tsitsiklis:
Approximate Gradient Methods in Policy-Space Optimization of Markov Reward Processes. 111-148 - Shane G. Henderson, Sean P. Meyn, Vladislav B. Tadic:
Performance Evaluation and Policy Selection in Multiclass Networks. 149-189
Volume 13, Number 3, July 2003
- Xenofon D. Koutsoukos, Panos J. Antsaklis:
Safety and Reachability of Piecewise Linear Hybrid Dynamical Systems Based on Discrete Abstractions. 203-243 - Nathalie Sauer:
Marking Optimization of Weighted Marked Graphs. 245-262 - Rami Debouk, Stéphane Lafortune, Demosthenis Teneketzis:
On the Effect of Communication Delays in Failure Diagnosis of Decentralized Discrete Event Systems. 263-289
Volume 13, Number 4, October 2003
- Spyros A. Reveliotis, Jin Young Choi:
On the Optimality of Randomized Deadlock Avoidance Policies. 303-320 - A. A. Al-Falou, Jan H. van Schuppen:
Aggregation in Hierarchical Discrete-Event Systems. 321-340 - Andrew G. Barto, Sridhar Mahadevan:
Recent Advances in Hierarchical Reinforcement Learning. 341-379
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