Journals in DBLP

Machine Learning
2002, volume: 49, number: 2-3

1. Satinder P. Singh
   Introduction. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:49, n:2-3, pp:107-109 [Journal]
   
2. Hui Tong, Timothy X. Brown
   Reinforcement Learning for Call Admission Control and Routing under Quality of Service Constraints in Multimedia Networks. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:49, n:2-3, pp:111-139 [Journal]
   
3. Amy McGovern, J. Eliot B. Moss, Andrew G. Barto
   Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:49, n:2-3, pp:141-160 [Journal]
   
4. Dirk Ormoneit, Saunak Sen
   Kernel-Based Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:49, n:2-3, pp:161-178 [Journal]
   
5. John N. Tsitsiklis, Benjamin Van Roy
   On Average Versus Discounted Reward Temporal-Difference Learning. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:49, n:2-3, pp:179-191 [Journal]
   
6. Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
   A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:49, n:2-3, pp:193-208 [Journal]
   
7. Michael J. Kearns, Satinder P. Singh
   Near-Optimal Reinforcement Learning in Polynomial Time. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:49, n:2-3, pp:209-232 [Journal]
   
8. Justin A. Boyan
   Technical Update: Least-Squares Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:49, n:2-3, pp:233-246 [Journal]
   
9. José del R. Millán, Daniele Posenato, Eric Dedieu
   Continuous-Action Q-Learning. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:49, n:2-3, pp:247-265 [Journal]
   
10. Oliver Mihatsch, Ralph Neuneier
    Risk-Sensitive Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:49, n:2-3, pp:267-290 [Journal]
    
11. Rémi Munos, Andrew W. Moore
    Variable Resolution Discretization in Optimal Control. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:49, n:2-3, pp:291-323 [Journal]
    
12. David J. Foster, Peter Dayan
    Structure in the Space of Value Functions. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:49, n:2-3, pp:325-346 [Journal]