Discrete Event Dynamic Systems, Volume 13

Volume 13, Number 1-2, January 2003

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