The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Effective reinforcement learning for mobile robots
Abstract
Programming mobile robots can be a long, time-consuming process. Specifying the low-level mapping from sensors to actuators is prone to programmer misconceptions, and debugging such a mapping can be tedious. The idea of having a robot learn how to accomplish a task, rather than being told explicitly, is an appealing one. It seems easier and much more intuitive for the programmer to specify what the robot should be doing, and to let it learn the fine details of how to do it. In this paper, we introduce a framework for reinforcement learning on mobile robots and describe our experiments using it to learn simple tasks.
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Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Watkins, C. J. C. H., & Dayan, P. (1992) · Machine Learning · doi:10.1007/bf00992698 · Cited by 9,083
Reinforcement Learning: A Survey
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996) · Journal of Artificial Intelligence Research · doi:10.1613/jair.301 · Cited by 8,972
Self-citationSelf-improving reactive agents based on reinforcement learning, planning and teaching
Lin, L.-J. (1992) · Machine Learning · doi:10.1007/bf00992699 · Cited by 1,564
Cited by
A survey of robot learning from demonstration
Argall, B. D., Chernova, S., Veloso, M., & Browning, B. (2009) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2008.10.024 · Cited by 3,227
Reinforcement learning in robotics: A survey
Kober, J., Bagnell, J. A., & Peters, J. (2013) · The International Journal of Robotics Research · doi:10.1177/0278364913495721 · Cited by 3,160
Bayesian decision theory in sensorimotor control
Körding, K. P., & Wolpert, D. M. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.003 · Cited by 867
Quantum Reinforcement Learning
Dong, D., Chen, C., Li, H., & Tarn, T.-J. (2008) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2008.925743 · Cited by 410
Ecoffet, A., Huizinga, J., Lehman, J., Stanley, K. O., & Clune, J. (2021) · Nature · doi:10.1038/s41586-020-03157-9 · Cited by 330
Metadata
- Authors
- Smart, W. D., & Pack Kaelbling, L.
- Venue
- Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292)
- Publisher
- IEEE
- Published
- 2003-06-25
- Volume
- 4
- Pages
- 3404-3410
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W2103285838
- Cited by
- 365
- References
- 4
- FWCI
- 11.54
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Smart, W. D., & Pack Kaelbling, L. (2003). Effective reinforcement learning for mobile robots. Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292). https://doi.org/10.1109/robot.2002.1014237
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