Volume 49,
Number 1,
October 2002
Volume 49,
Number 2-3,
November-December 2002
- Satinder P. Singh:
Introduction.
107-109 BibTeX
- Hui Tong, Timothy X. Brown:
Reinforcement Learning for Call Admission Control and Routing under Quality of Service Constraints in Multimedia Networks.
111-139 BibTeX
- Amy McGovern, J. Eliot B. Moss, Andrew G. Barto:
Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts.
141-160 BibTeX
- Dirk Ormoneit, Saunak Sen:
Kernel-Based Reinforcement Learning.
161-178 BibTeX
- John N. Tsitsiklis, Benjamin Van Roy:
On Average Versus Discounted Reward Temporal-Difference Learning.
179-191 BibTeX
- Michael J. Kearns, Yishay Mansour, Andrew Y. Ng:
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes.
193-208 BibTeX
- Michael J. Kearns, Satinder P. Singh:
Near-Optimal Reinforcement Learning in Polynomial Time.
209-232 BibTeX
- Justin A. Boyan:
Technical Update: Least-Squares Temporal Difference Learning.
233-246 BibTeX
- José del R. Millán, Daniele Posenato, Eric Dedieu:
Continuous-Action Q-Learning.
247-265 BibTeX
- Oliver Mihatsch, Ralph Neuneier:
Risk-Sensitive Reinforcement Learning.
267-290 BibTeX
- Rémi Munos, Andrew W. Moore:
Variable Resolution Discretization in Optimal Control.
291-323 BibTeX
- David J. Foster, Peter Dayan:
Structure in the Space of Value Functions.
325-346 BibTeX
Copyright © Sun May 17 00:13:38 2009
by Michael Ley (ley@uni-trier.de)
