Publications

Please find below a selected list of my preprints, refereed conference publications, and refereed journal publications, in reverse chronological order. (* Equal contribution.) For a complete list of my preprints and publications, please see my Google Scholar page.

Selected Preprints:

• Arc-based Traffic Assignment: Equilibrium Characterization and Learning
  

  • Chih-Yuan Chiu*, Chinmay Maheshwari*, Pan-Yang Su, and Shankar Sastry.
    

  • (accepted at) 62nd IEEE Conference on Decision and Control (CDC), 2023.

• Dynamic Tolling in Arc-based Traffic Assignment Models
  

  • Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, and Shankar Sastry.
    

  • (accepted at) 59th Annual Allerton Conference on Communication, Control, and Computing, 2023.

• Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games
  

  • Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox*, Mustafa Karabag*, Javier Alonso-Mora, Somayeh Sojoudi, Claire Tomlin, David Fridovich-Keil.
    

  • (accepted at) 62nd IEEE Conference on Decision and Control (CDC), 2023.

• Parameter Estimation in Optimal Tolling for Traffic Networks Under the Markovian Traffic Equilibrium
  

  • Chih-Yuan Chiu and Shankar Sastry.
    

  • (submitted to) American Control Conference, 2024.

Selected Conference Publications:

• Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories
  

  • Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire Tomlin, David Fridovich-Keil.
    

  • International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023.

• SLAM Backends with Objects in Motion: A Unifying Framework and Tutorial
  

  • Chih-Yuan Chiu.
    

  • IEEE American Control Conference (ACC), 2023.

• GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios
  

  • Chih-Yuan Chiu, and David Fridovich-Keil.
    

  • 61st IEEE Conference on Decision and Control (CDC), 2022.

• Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization
  

  • Chinmay Maheshwari*, Chih-Yuan Chiu*, Eric Mazumdar, Shankar Sastry, and Lillian Ratliff.
    

  • Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR, 2021.

• Encoding Defensive Driving as a Dynamic Nash Game
  

  • Chih-Yuan Chiu*, David Fridovich-Keil*, and Claire Tomlin.
    

  • IEEE International Conference on Robotics and Automation, 2021.

• Eyes-Closed Safety Kernels: Safety for Autonomous Systems Under Loss of Observability
  

  • Forrest Laine, Chih-Yuan Chiu, and Claire Tomlin.
    

  • Robotics: Science and Systems, 2020.

Selected Journal Publications:

• The Computation of Approximate Generalized Feedback Nash Equilibria
  

  • Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, and Claire Tomlin.
    

  • SIAM Journal on Optimization, 2023.

• Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization
  

  • Amay Saxena*, Chih-Yuan Chiu*, Joseph Menke, Ritika Shrivastava, and Shankar Sastry.
    

  • IEEE Robotics and Automation Letters (RAL) 2022.