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
  
• 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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