Chih-Yuan Chiu

52 papers A* 2A 2B 1C 2Journal 36Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Credit-Based vs. Discount-Based Congestion Pricing: A Comparison Study. CoRR Chih-Yuan Chiu, Devansh Jalota, Marco Pavone
2026	J	`jnl`	Learning Constraints From Stochastic Partially- Observed Closed-Loop Demonstrations. IEEE Control. Syst. Lett. Chih-Yuan Chiu, Zhouyu Zhang, Glen Chou
2025	J	`jnl`	Active Constraint Learning in High Dimensions from Demonstrations. CoRR Zheng Qiu, Chih-Yuan Chiu, Glen Chou
2025	J	`jnl`	Approximately Optimal Toll Design for Efficiency and Equity in Arc-Based Traffic Assignment Models. CoRR Chih-Yuan Chiu
2025	J	`jnl`	Ask, Reason, Assist: Decentralized Robot Collaboration via Language and Logic. CoRR Dan BW Choe, Sundhar Vinodh Sangeetha, Steven Emanuel, Chih-Yuan Chiu, Samuel Coogan, Shreyas Kousik
2025	J	`jnl`	Constraint Learning in Multi-Agent Dynamic Games from Demonstrations of Local Nash Interactions. CoRR Zhouyu Zhang, Chih-Yuan Chiu, Glen Chou
2025	J	`jnl`	Language Conditioning Improves Accuracy of Aircraft Goal Prediction in Untowered Airspace. CoRR Sundhar Vinodh Sangeetha, Chih-Yuan Chiu, Sarah H. Q. Li, Shreyas Kousik
2025	J	`jnl`	Learning Constraints from Stochastic Partially-Observed Closed-Loop Demonstrations. CoRR Chih-Yuan Chiu, Zhouyu Zhang, Glen Chou
2025	J	`jnl`	Robustly Constrained Dynamic Games for Uncertain Nonlinear Dynamics. CoRR Shuyu Zhan, Chih-Yuan Chiu, Antoine P. Leeman, Glen Chou
2025	J	`jnl`	Robustness of Incentive Mechanisms Against System Misspecification in Congestion Games. CoRR Chih-Yuan Chiu, Bryce L. Ferguson
2025	J	`jnl`	Robustness of Incentive Mechanisms Against System Misspecification in Congestion Games. IEEE Control. Syst. Lett. Chih-Yuan Chiu, Bryce L. Ferguson
2025	J	`jnl`	Seeing, Saying, Solving: An LLM-to-TL Framework for Cooperative Robots. CoRR Dan BW Choe, Sundhar Vinodh Sangeetha, Steven Emanuel, Chih-Yuan Chiu, Samuel Coogan, Shreyas Kousik
2024	J	`jnl`	Contingency Games for Multi-Agent Interaction. IEEE Robotics Autom. Lett. Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora
2024	—	`conf`	Credit vs. Discount-Based Congestion Pricing: A Comparison Study. CDC Chih-Yuan Chiu, Devansh Jalota, Marco Pavone
2024	J	`jnl`	Credit vs. Discount-Based Congestion Pricing: A Comparison Study. CoRR Chih-Yuan Chiu, Devansh Jalota, Marco Pavone
2024	C	`conf`	Parameter Estimation in Optimal Tolling for Traffic Networks Under the Markovian Traffic Equilibrium. ACC Chih-Yuan Chiu, Shankar Sastry
2024	J	`jnl`	Parameter Estimation in Optimal Tolling for Traffic Networks Under the Markovian Traffic Equilibrium. CoRR Chih-Yuan Chiu, Shankar Sastry
2024	J	`jnl`	To What Extent Do Open-Loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games? IEEE Control. Syst. Lett. Chih-Yuan Chiu, Jingqi Li, Maulik Bhatt, Negar Mehr
2024	J	`jnl`	To What Extent do Open-loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games? CoRR Chih-Yuan Chiu, Jingqi Li, Maulik Bhatt, Negar Mehr
2023	—	`—`	Algorithm Design for Safe and Efficient Societal-Scale Navigation Chih-Yuan Chiu
2023	—	`conf`	Arc-Based Traffic Assignment: Equilibrium Characterization and Learning. CDC Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry
2023	J	`jnl`	Arc-based Traffic Assignment: Equilibrium Characterization and Learning. CoRR Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, S. Shankar Sastry
2023	J	`jnl`	Contingency Games for Multi-Agent Interaction. CoRR Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora
2023	A	`conf`	Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. AAMAS Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023	J	`jnl`	Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. CoRR Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023	—	`conf`	Dynamic Tolling in Arc-based Traffic Assignment Models. Allerton Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry
2023	J	`jnl`	Dynamic Tolling in Arc-based Traffic Assignment Models. CoRR Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry
2023	J	`jnl`	Pursuit of a discriminative representation for multiple subspaces via sequential games. J. Frankl. Inst. Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma
2023	C	`conf`	SLAM Backends with Objects in Motion: A Unifying Framework and Tutorial. ACC Chih-Yuan Chiu
2023	—	`conf`	Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CDC Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023	J	`jnl`	Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CoRR Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023	J	`jnl`	The Computation of Approximate Generalized Feedback Nash Equilibria. SIAM J. Optim. Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
2023	—	`conf`	Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test. CDC Chih-Yuan Chiu, Kshitij Kulkarni, Shankar Sastry
2022	—	`conf`	GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios. CDC Chih-Yuan Chiu, David Fridovich-Keil
2022	J	`jnl`	GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios. CoRR Chih-Yuan Chiu, David Fridovich-Keil
2022	J	`jnl`	Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games. CoRR Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma
2022	J	`jnl`	SLAM Backends with Objects in Motion: A Unifying Framework and Tutorial. CoRR Chih-Yuan Chiu
2022	J	`jnl`	Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization. IEEE Robotics Autom. Lett. Amay Saxena, Chih-Yuan Chiu, Ritika Shrivastava, Joseph Menke, Shankar Sastry
2022	J	`jnl`	Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test. CoRR Chih-Yuan Chiu, Kshitij Kulkarni, S. Shankar Sastry
2022	A	`conf`	Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization. AISTATS Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, Shankar Sastry, Lillian J. Ratliff
2021	A*	`conf`	Encoding Defensive Driving as a Dynamic Nash Game. ICRA Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin
2021	A*	`conf`	Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. ICRA Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
2021	J	`jnl`	Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization. CoRR Amay Saxena, Chih-Yuan Chiu, Joseph Menke, Ritika Shrivastava, Shankar Sastry
2021	B	`conf`	Stabilizability of Vector Systems with Uniform Actuation Unpredictability. ISIT Rahul Arya, Chih-Yuan Chiu, Gireeja Ranade
2021	J	`jnl`	Stabilizability of Vector Systems with Uniform Actuation Unpredictability. CoRR Rahul Arya, Chih-Yuan Chiu, Gireeja Ranade
2021	J	`jnl`	The Computation of Approximate Generalized Feedback Nash Equilibria. CoRR Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
2021	J	`jnl`	Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization. CoRR Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, S. Shankar Sastry, Lillian J. Ratliff
2020	J	`jnl`	Encoding Defensive Driving as a Dynamic Nash Game. CoRR Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin
2020	J	`jnl`	Eyes-Closed Safety Kernels: Safety for Autonomous Systems Under Loss of Observability. CoRR Forrest Laine, Chih-Yuan Chiu, Claire J. Tomlin
2020	—	`conf`	Eyes-Closed Safety Kernels: Safety of Autonomous Systems Under Loss of Observability. Robotics: Science and Systems Forrest Laine, Chih-Yuan Chiu, Claire J. Tomlin
2020	J	`jnl`	Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. CoRR Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
2006	—	`conf`	A Concatenated Reduced-Rank Processing Scheme for MC-CDMA Systems with an Antenna Array. VTC Spring Chih-Yuan Chiu, Yung-Fang Chen