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During the development of autonomous systems such as driverless cars, it is important to characterize the scenarios that are most likely to result in failure.
P. C. Mahalanobis, “On the generalised distance in statistics,” Proceedings of the National Institute of Sciences of India , vol. 2, no. 1, pp. 49–55, 1936
1936
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural Computation , vol. 9, no. 8, pp. 1735–1780, 1997
1997
Earlier work this paper cites.
L. Kocsis and C. Szepesvári, “Bandit based Monte Carlo planning,” in European Conference on Machine Learning (ECML) , 2006
2006
Earlier work this paper cites.
A. Couëtoux, J.-B. Hoock, N. Sokolovska, O. Teytaud, and N. Bonnard, “Continuous upper confidence trees,” in International Conference on Learning and Intelligent Optimization . Springer, 2011, pp. 433–445
2011
Earlier work this paper cites.
C. B. Browne, E. Powley, D. Whitehouse, S. M. Lucas, P. I. Cowling, P. Rohlfshagen, S. Tavener, D. Perez, S. Samothrakis, and S. Colton, “A survey of Monte Carlo tree search methods,” IEEE Transactions on Computational Intelligence and AI in Games , vol. 4, no. 1, pp. 1–43, 2012
2012
Earlier work this paper cites.
R. Lee, M. J. Kochenderfer, O. J. Mengshoel, G. P. Brat, and M. P. Owen, “Adaptive stress testing of airborne collision avoidance systems,” in Digital Avionics Systems Conference (DASC) , 2015
2015
Earlier work this paper cites.
M. J. Kochenderfer, Decision Making Under Uncertainty . MIT Press, 2015
2015
Earlier work this paper cites.
J. Schulman, S. Levine, P. Abbeel, M. I. Jordan, and P. Moritz, “Trust region policy optimization.” in International Conference on Machine Learning (ICML) , vol. 37, 2015, pp. 1889–1897
2015
Cited alongside, same era.
2015
Cited alongside, same era.
V. Agaram, F. Barickman, F. Fahrenkrog, E. Griffor, I. Muharemovic, H. Peng, J. Salinger, S. Shladover, and W. Shogren, “Validation and Verification of Automated Road Vehicles,” in Road Vehicle Automation 3 , G. Meyer and S. Beiker, Eds. Springer, 2016, pp. 201–210
2016
Cited alongside, same era.
P. Koopman and M. Wagner, “Challenges in autonomous vehicle testing and validation,” SAE International Journal of Transportation Safety , vol. 4, no. 1, pp. 15–24, 2016
2016
Cited alongside, same era.
Y. Duan, X. Chen, R. Houthooft, J. Schulman, and P. Abbeel, “Benchmarking deep reinforcement learning for continuous control,” in International Conference on Machine Learning (ICML) , 2016
2016
Later among the works it cites.
P. Koopman, “The heavy tail safety ceiling,” in Automated and Connected Vehicle Systems Testing Symposium , 2018
2018
Later among the works it cites.
G. E. Mullins, P. G. Stankiewicz, R. C. Hawthorne, and S. K. Gupta, “Adaptive generation of challenging scenarios for testing and evaluation of autonomous vehicles,” Journal of Systems and Software , vol. 137, pp. 197–215, 2018
2018
Later among the works it cites.
M. O’Kelly, A. Sinha, H. Namkoong, R. Tedrake, and J. C. Duchi, “Scalable end-to-end autonomous vehicle testing via rare-event simulation,” in Advances in Neural Information Processing Systems , 2018, pp. 9827–9838
2018
Later among the works it cites.
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N. Kalra and S. M. Paddock, “Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?” Transportation Research Part A: Policy and Practice , vol. 94, pp. 182–193, 2016
2016
Cited alongside, same era.
L. Li, W.-L. Huang, Y. Liu, N.-N. Zheng, and F.-Y. Wang, “Intelligence testing for autonomous vehicles: A new approach,” IEEE Transactions on Intelligent Vehicles , vol. 1, no. 2, pp. 158–166, 2016
2016
Cited alongside, same era.
C. E. Tuncali, G. Fainekos, H. Ito, and J. Kapinski, “Simulation-based adversarial test generation for autonomous vehicles with machine learning components,” in IEEE Intelligent Vehicles Symposium , 2018, pp. 1555–1562
2018
Later among the works it cites.
M. Koren, S. Alsaif, R. Lee, and M. J. Kochenderfer, “Adaptive stress testing for autonomous vehicles,” in IEEE Intelligent Vehicles Symposium , 2018, pp. 1–7
2018
Later among the works it cites.