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Does bilevel optimization result in more competitive racing behavior? (2402.09548v2)

Published 14 Feb 2024 in cs.GT

Abstract: Two-vehicle racing is natural example of a competitive dynamic game. As with most dynamic games, there are many ways in which the underlying solution concept can be structured, resulting in different equilibrium concepts. The assumed solution concept influences the behaviors of two interacting players in racing. For example, blocking behavior emerges naturally in leader-follower play, but to achieve this in Nash play the costs would have to be chosen specifically to trigger this behavior. In this work, we develop a novel model for competitive two-player vehicle racing, represented as an equilibrium problem, complete with simplified aerodynamic drag and drafting effects, as well as position-dependent collision-avoidance responsibility. We use our model to explore how different solution concepts affect competitiveness. We develop a solution for bilevel optimization problems, enabling a large-scale empirical study comparing bilevel strategies (either as leader or follower), Nash equilibrium strategy and a single-player constant velocity baseline. We find the choice of strategies significantly affects competitive performance and safety.

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References (20)
  1. Existence of an equilibrium for a competitive economy. Econometrica: Journal of the Econometric Society, pages 265–290, 1954.
  2. Interaction-Aware Game-Theoretic Motion Planning for Automated Vehicles using Bi-level Optimization. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), pages 3978–3985, Macau, China, October 2022. IEEE. ISBN 978-1-66546-880-0. doi: 10.1109/ITSC55140.2022.9922600. URL https://ieeexplore.ieee.org/document/9922600/.
  3. Antoine Augustin Cournot. Researches into the Mathematical Principles of the Theory of Wealth. New York: Macmillan Company, 1927 [c1897], 1927.
  4. Andrew F Daughety. Beneficial concentration. The American Economic Review, 80(5):1231–1237, 1990.
  5. Gerard Debreu. A social equilibrium existence theorem. Proceedings of the National Academy of Sciences, 38(10):886–893, 1952.
  6. The path solver: a nommonotone stabilization scheme for mixed complementarity problems. Optimization methods and software, 5(2):123–156, 1995.
  7. Generalized nash equilibrium problems. 4or, 5:173–210, 2007.
  8. Finite-dimensional variational inequalities and complementarity problems. Springer, 2003.
  9. Efficient iterative linear-quadratic approximations for nonlinear multi-player general-sum differential games. In 2020 IEEE international conference on robotics and automation (ICRA), pages 1475–1481. IEEE, 2020.
  10. Multi-Leader-Follower Games: Models, Methods and Applications. Journal of the Operations Research Society of Japan, 58(1):1–23, 2015. ISSN 0453-4514, 2188-8299. doi: 10.15807/jorsj.58.1. URL https://www.jstage.jst.go.jp/article/jorsj/58/1/58_1/_article. Number: 1.
  11. Stackelberg beats cournot—on collusion and efficiency in experimental markets. The Economic Journal, 111(474):749–765, 2001.
  12. Lane-Merging Strategy for a Self-Driving Car in Dense Traffic Using the Stackelberg Game Approach. Electronics, 10(8):894, January 2021. ISSN 2079-9292. doi: 10.3390/electronics10080894. URL https://www.mdpi.com/2079-9292/10/8/894. Number: 8 Publisher: Multidisciplinary Digital Publishing Institute.
  13. William Karush. Minima of functions of several variables with inequalities as side constraints. M. Sc. Dissertation. Dept. of Mathematics, Univ. of Chicago, 1939.
  14. H Kuhn. Tucker (1951). nonlinear programming. In Proceedings of the second Berkeley symposium on mathematical statistics and probability, Berkeley, University of California, pages 481–492.
  15. Multi-hypothesis interactions in game-theoretic motion planning. In 2021 IEEE International Conference on Robotics and Automation (ICRA), pages 8016–8023. IEEE, 2021.
  16. The computation of approximate generalized feedback nash equilibria. SIAM Journal on Optimization, 33(1):294–318, 2023.
  17. Algames: a fast augmented lagrangian solver for constrained dynamic games. Autonomous Robots, 46(1):201–215, 2022.
  18. A Noncooperative Game Approach to Autonomous Racing. IEEE transactions on control systems technology, 28(3):884–897, 2020. ISSN 1063-6536. doi: 10.1109/TCST.2019.2895282. Publisher: IEEE.
  19. John Nash. Non-cooperative games. Annals of mathematics, pages 286–295, 1951.
  20. Heinrich Von Stackelberg. Market structure and equilibrium. Springer Science & Business Media, 2010.
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