Standout Papers

Reinforcement Learning: A Survey 1996 2026 2006 2016 3.8k
  1. Reinforcement Learning: A Survey (1996)
    Leslie Pack Kaelbling, Michael L. Littman et al. Journal of Artificial Intelligence Research
  2. Planning and acting in partially observable stochastic domains (1998)
    Leslie Pack Kaelbling, Michael L. Littman et al. Artificial Intelligence
  3. Measuring praise and criticism (2003)
    Peter D. Turney, Michael L. Littman ACM Transactions on Information Systems
  4. Activity recognition from accelerometer data (2005)
    Nishkam Ravi, Nikhil Dandekar et al. Innovative Applications of Artificial Intelligence
  5. Proceedings of the 26th Annual International Conference on Machine Learning (2009)
    Andrea Danyluk, Léon Bottou et al. International Conference on Machine Learning

Immediate Impact

29 by Nobel laureates 41 from Science/Nature 90 standout
Sub-graph 1 of 21

Citing Papers

Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing
2024 Standout
Machine Learning Methods for Small Data Challenges in Molecular Science
2023 Standout

Works of Michael L. Littman being referenced

A Review of Reinforcement Learning
2000
Reinforcement Learning: A Survey
1996 Standout

Author Peers

Author Last Decade Papers Cites
Michael L. Littman 6670 1412 1734 1712 157 11.7k
Stuart Russell 8226 1235 1902 2676 133 15.8k
Andrew Moore 4857 779 1214 1400 116 9.7k
Leslie Pack Kaelbling 4911 833 1388 1557 137 8.6k
Thore Graepel 7681 998 1119 2021 69 15.7k
Javier Del Ser 5497 513 980 1774 236 12.3k
Chee Peng Lim 3699 804 1649 1514 404 9.8k
Luca Maria Gambardella 5042 722 2542 2691 175 14.4k
Riccardo Poli 6249 727 1250 1573 142 16.5k
Peter Norvig 5364 773 1403 1387 53 12.6k
Andrew G. Barto 5978 1092 1170 814 118 12.1k

All Works

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2026