Foreword to the Learning, Optimization, and Decision Making in DEDS Prof. Y. C. Ho Editorial Introduction Pages: 5 - 5
Introduction to the Special Issue on Learning, Optimization, and Decision Making in DEDS Xi-Ren Cao OriginalPaper Pages: 7 - 8
From Perturbation Analysis to Markov Decision Processes and Reinforcement Learning Xi-Ren Cao OriginalPaper Pages: 9 - 39
Recent Advances in Hierarchical Reinforcement Learning Andrew G. BartoSridhar Mahadevan OriginalPaper Pages: 41 - 77
Least Squares Policy Evaluation Algorithms with Linear Function Approximation A. NediĆD. P. Bertsekas OriginalPaper Pages: 79 - 110
Approximate Gradient Methods in Policy-Space Optimization of Markov Reward Processes Peter MarbachJohn N. Tsitsiklis OriginalPaper Pages: 111 - 148
Performance Evaluation and Policy Selection in Multiclass Networks Shane G. HendersonSean P. MeynVladislav B. Tadić OriginalPaper Pages: 149 - 189
