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Alexander L. Strehl
Person information
- affiliation: Rutgers University, USA
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2010 – 2019
- 2017
- [r2]Alexander L. Strehl:
Associative Reinforcement Learning. Encyclopedia of Machine Learning and Data Mining 2017: 71-73 - 2014
- [i4]Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl:
Conditional Probability Tree Estimation Analysis and Algorithms. CoRR abs/1408.2031 (2014) - 2012
- [i3]Alexander L. Strehl, Lihong Li, Michael L. Littman:
Incremental Model-based Learners With Formal Learning-Time Guarantees. CoRR abs/1206.6870 (2012) - 2011
- [j4]Lihong Li, Michael L. Littman, Thomas J. Walsh, Alexander L. Strehl:
Knows what it knows: a framework for self-aware learning. Mach. Learn. 82(3): 399-443 (2011) - 2010
- [c16]Alexander L. Strehl, John Langford, Lihong Li, Sham M. Kakade:
Learning from Logged Implicit Exploration Data. NIPS 2010: 2217-2225 - [r1]Alexander L. Strehl:
Associative Reinforcement Learning. Encyclopedia of Machine Learning 2010: 49-51 - [i2]Alexander L. Strehl, John Langford, Sham M. Kakade:
Learning from Logged Implicit Exploration Data. CoRR abs/1003.0120 (2010)
2000 – 2009
- 2009
- [j3]Alexander L. Strehl, Lihong Li, Michael L. Littman:
Reinforcement Learning in Finite MDPs: PAC Analysis. J. Mach. Learn. Res. 10: 2413-2444 (2009) - [c15]Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl:
Conditional Probability Tree Estimation Analysis and Algorithms. UAI 2009: 51-58 - [c14]Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, Alexander L. Strehl, Vishy Vishwanathan:
Hash Kernels. AISTATS 2009: 496-503 - [i1]Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl:
Conditional Probability Tree Estimation Analysis and Algorithms. CoRR abs/0903.4217 (2009) - 2008
- [j2]Alexander L. Strehl, Michael L. Littman:
An analysis of model-based Interval Estimation for Markov Decision Processes. J. Comput. Syst. Sci. 74(8): 1309-1331 (2008) - [c13]Peng Dai, Alexander L. Strehl, Judy Goldsmith:
Expediting RL by using graphical structures. AAMAS (3) 2008: 1325-1328 - [c12]John Langford, Alexander L. Strehl, Jennifer Wortman:
Exploration scavenging. ICML 2008: 528-535 - [c11]Alexander L. Strehl:
Probably Approximately Correct (PAC) Exploration in Reinforcement Learning. ISAIM 2008 - [c10]Sharad Goel, John Langford, Alexander L. Strehl:
Predictive Indexing for Fast Search. NIPS 2008: 505-512 - 2007
- [c9]Alexander L. Strehl, Carlos Diuk, Michael L. Littman:
Efficient Structure Learning in Factored-State MDPs. AAAI 2007: 645-650 - [c8]Alexander L. Strehl, Michael L. Littman:
Online Linear Regression and Its Application to Model-Based Reinforcement Learning. NIPS 2007: 1417-1424 - 2006
- [c7]Carlos Diuk, Alexander L. Strehl, Michael L. Littman:
A hierarchical approach to efficient reinforcement learning in deterministic domains. AAMAS 2006: 313-319 - [c6]Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman:
PAC model-free reinforcement learning. ICML 2006: 881-888 - [c5]Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh:
Experience-efficient learning in associative bandit problems. ICML 2006: 889-896 - [c4]Alexander L. Strehl, Lihong Li, Michael L. Littman:
Incremental Model-based Learners With Formal Learning-Time Guarantees. UAI 2006 - 2005
- [c3]Alexander L. Strehl, Michael L. Littman:
A theoretical analysis of Model-Based Interval Estimation. ICML 2005: 856-863 - [c2]Bethany R. Leffler, Michael L. Littman, Alexander L. Strehl, Thomas J. Walsh:
Efficient Exploration With Latent Structure. Robotics: Science and Systems 2005: 81-88 - 2004
- [j1]Alexander L. Strehl:
Ternary codes through ternary designs. Australas. J Comb. 30: 21-30 (2004) - [c1]Alexander L. Strehl, Michael L. Littman:
An Empirical Evaluation of Interval Estimation for Markov Decision Processes. ICTAI 2004: 128-135
Coauthor Index
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