Journals in DBLP

Machine Learning
1996, volume: 22, number: 1-3

1. Thomas G. Dietterich
   Editorial. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1996, v:22, n:1-3, pp:5-6 [Journal]
   
2. Leslie Pack Kaelbling
   Introduction. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1996, v:22, n:1-3, pp:7-9 [Journal]
   
3. David E. Moriarty, Risto Miikkulainen
   Efficient Reinforcement Learning through Symbiotic Evolution. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1996, v:22, n:1-3, pp:11-32 [Journal]
   
4. Steven J. Bradtke, Andrew G. Barto
   Linear Least-Squares Algorithms for Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1996, v:22, n:1-3, pp:33-57 [Journal]
   
5. John N. Tsitsiklis, Benjamin Van Roy
   Feature-Based Methods for Large Scale Dynamic Programming. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1996, v:22, n:1-3, pp:59-94 [Journal]
   
6. Robert E. Schapire, Manfred K. Warmuth
   On the Worst-Case Analysis of Temporal-Difference Learning Algorithms. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1996, v:22, n:1-3, pp:95-121 [Journal]
   
7. Satinder P. Singh, Richard S. Sutton
   Reinforcement Learning with Replacing Eligibility Traces. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1996, v:22, n:1-3, pp:123-158 [Journal]
   
8. Sridhar Mahadevan
   Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1996, v:22, n:1-3, pp:159-195 [Journal]
   
9. Matthias Heger
   The Loss from Imperfect Value Functions in Expectation-Based and Minimax-Based Tasks. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1996, v:22, n:1-3, pp:197-225 [Journal]
   
10. Sven Koenig, Reid G. Simmons
    The Effect of Representation and Knowledge on Goal-Directed Exploration with Reinforcement-Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:22, n:1-3, pp:227-250 [Journal]
    
11. Richard Maclin, Jude W. Shavlik
    Creating Advice-Taking Reinforcement Learners. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:22, n:1-3, pp:251-281 [Journal]
    
12. Jing Peng, Ronald J. Williams
    Incremental Multi-Step Q-Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:22, n:1-3, pp:283-290 [Journal]