The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Autonomous Inverted Helicopter Flight via Reinforcement Learning
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Citations
Cites
Reinforcement Learning: An Introduction
(2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 24,496
Artificial intelligence: a modern approach
(1995) · Choice Reviews Online · doi:10.5860/choice.33-1577 · Cited by 21,974
Optimal Control: Linear Quadratic Methods
Anderson, B. D. O., & Moore, J. B. (1979) · Cited by 2,823
Principles of Helicopter Aerodynamics
Leishman, J. G. (2000) · Cited by 2,496
Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
Ng, A. Y., Harada, D., & Russell, S. (1999) · Cited by 1,744
Self-citationReinforcement Learning: An Introduction
(1998) · Kybernetes · doi:10.1108/k.1998.27.9.1093.3 · Cited by 1,472
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
Ng, A. Y., & Jordan, M. I. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1301.3878 · Cited by 360
Self-citationAutonomous Helicopter Flight via Reinforcement Learning
Kim, H. J., Jordan, M. I., Sastry, S., & Ng, A. Y. (2003) · neural information processing systems · Cited by 287
Self-citationAutonomous helicopter control using reinforcement learning policy search methods
Bagnell, J. A., & Schneider, J. G. (2002) · Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164) · doi:10.1109/robot.2001.932842 · Cited by 276
Low-cost flight control system for a small autonomous helicopter
Roberts, J. M., Corke, P., & Buskey, G. (2004) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2003.1241651 · Cited by 135
Cited by
Deep Reinforcement Learning: A Brief Survey
Arulkumaran, K., Deisenroth, M. P., Brundage, M., & Bharath, A. A. (2017) · IEEE Signal Processing Magazine · doi:10.1109/msp.2017.2743240 · Cited by 4,733
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
Andrychowicz, M., Wolski, F., Ray, A., Schneider, J., Fong, R., Welinder, P., McGrew, B., Tobin, J., Abbeel, P., & Zaremba, W. (2017) · arXiv · doi:10.48550/arxiv.1707.01495 · Cited by 1,355
Imitation Learning: A Survey of Learning Methods
Hussein, A., Gaber, M. M., Elyan, E., & Jayne, C. (2018) · ACM Computing Surveys · doi:10.1145/3054912 · Cited by 1,060
Metadata
- Authors
- Ng, A. Y., Coates, A., Diel, M., Ganapathi, V., Schulte, J., Tse, B., Berger, E., & Liang, E.
- Venue
- Springer Tracts in Advanced Robotics
- Publisher
- Springer Berlin Heidelberg
- Published
- 2006
- Pages
- 363-372
- ISSN
- 1610-742X (ISSN-L)
- 1610-7438
- OpenAlex
- W1949804828
- Cited by
- 553
- References
- 10
- FWCI
- 41.44
- Type
- book chapter
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Autonomous Inverted Helicopter Flight via Reinforcement Learning. https://app.cochat.ai/papers/10.1007/11552246_35
- The paper
- Ng, A. Y., Coates, A., Diel, M., Ganapathi, V., Schulte, J., Tse, B., Berger, E., & Liang, E. (2006). Autonomous Inverted Helicopter Flight via Reinforcement Learning. Springer Tracts in Advanced Robotics. https://doi.org/10.1007/11552246_35
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
