Volume 22,
Numbers 1-3,
January 1996
- Thomas G. Dietterich:
Editorial.
5-6 BibTeX
- Leslie Pack Kaelbling:
Introduction.
7-9 BibTeX
- David E. Moriarty, Risto Miikkulainen:
Efficient Reinforcement Learning through Symbiotic Evolution.
11-32 BibTeX
- Steven J. Bradtke, Andrew G. Barto:
Linear Least-Squares Algorithms for Temporal Difference Learning.
33-57 BibTeX
- John N. Tsitsiklis, Benjamin Van Roy:
Feature-Based Methods for Large Scale Dynamic Programming.
59-94 BibTeX
- Robert E. Schapire, Manfred K. Warmuth:
On the Worst-Case Analysis of Temporal-Difference Learning Algorithms.
95-121 BibTeX
- Satinder P. Singh, Richard S. Sutton:
Reinforcement Learning with Replacing Eligibility Traces.
123-158 BibTeX
- Sridhar Mahadevan:
Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results.
159-195 BibTeX
- Matthias Heger:
The Loss from Imperfect Value Functions in Expectation-Based and Minimax-Based Tasks.
197-225 BibTeX
- Sven Koenig, Reid G. Simmons:
The Effect of Representation and Knowledge on Goal-Directed Exploration with Reinforcement-Learning Algorithms.
227-250 BibTeX
- Richard Maclin, Jude W. Shavlik:
Creating Advice-Taking Reinforcement Learners.
251-281 BibTeX
- Jing Peng, Ronald J. Williams:
Incremental Multi-Step Q-Learning.
283-290 BibTeX
Copyright © Sun May 17 00:13:35 2009
by Michael Ley (ley@uni-trier.de)
