Machine Learning Methods for Planning

Content: 
The Morgan Kaufmann Series in Machine Learning, Page ii
Front Matter, Page iii
Copyright, Page iv
Contributors, Pages vii-viii
Preface, Pages ix-xiii, STEVEN MINTON
CHAPTER 1 - Learning, Planning, and Scheduling: An Overview, Pages 1-29, STEVEN MINTON, MONTE ZWEBEN
CHAPTER 2 - Interfaces That Learn: A Learning Apprentice for Calendar Management, Pages 31-65, JEAN JOURDAN, LISA DENT, JOHN MCDERMOTT, TOM MITCHELL, DAVID ZABOWSKI
CHAPTER 3 - Reinforcement Learning for Planning and Control, Pages 67-92, THOMAS DEAN, KEN BASYE, JOHN SHEWCHUK
CHAPTER 4 - A First Theory of Plausible Inference and Its Use in Continuous Domain Planning, Pages 93-124, GERALD DEJONG, DANIEL OBLINGER
CHAPTER 5 - Planning, Acting, and Learning in a Dynamic Domain, Pages 125-158, ALBERTO SEGRE, JENNIFER TURNEY
CHAPTER 6 - Reactive, Integrated Systems Pose New Problems for Machine Learning, Pages 159-195, JOHN BRESINA, MARK DRUMMOND, SMADAR KEDAR
CHAPTER 7 - Bias in Planning and Explanation-Based Learning, Pages 197-232, PAUL S. ROSENBLOOM, SOOWON LEE, AMY UNRUH
CHAPTER 8 - Toward Scaling Up Machine Learning: A Case Study with Derivational Analogy in PRODIGY, Pages 233-272, MANUELA M. VELOSO, JAIME G. CARBONELL
CHAPTER 9 - Integration of Analogical Search Control and Explanation-Based Learning of Correctness, Pages 273-315, KURT VANLEHN, RANDOLPH M. JONES
CHAPTER 10 - A Unified Framework for Planning and Learning, Pages 317-350, PAT LANGLEY, JOHN A. ALLEN
CHAPTER 11 - Toward a Theory of Agency, Pages 351-396, KRISTIAN HAMMOND, TIMOTHY CONVERSE, MITCHELL MARKS
CHAPTER 12 - Supporting Flexible Plan Reuse, Pages 397-434, SUBBARAO KAMBHAMPATI
CHAPTER 13 - Adapting Plan Architectures, Pages 435-466, WILLIAM S. MARK
CHAPTER 14 - Learning Recurring Subplans, Pages 467-497, DAVID RUBY, DENNIS KIBLER
CHAPTER 15 - A Method for Biasing the Learning of Nonterminal Reduction Rules, Pages 499-535, STACY C. MARSELLA, CHARLES F. SCHMIDT
Index, Pages 537-540