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Chih-Yuan Chiu
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2020 – today
- 2024
- [j4]Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora:
Contingency Games for Multi-Agent Interaction. IEEE Robotics Autom. Lett. 9(3): 2208-2215 (2024) - [c14]Chih-Yuan Chiu, Shankar Sastry:
Parameter Estimation in Optimal Tolling for Traffic Networks Under the Markovian Traffic Equilibrium. ACC 2024: 1461-1467 - [i19]Chih-Yuan Chiu, Devansh Jalota, Marco Pavone:
Credit vs. Discount-Based Congestion Pricing: A Comparison Study. CoRR abs/2403.13923 (2024) - [i18]Chih-Yuan Chiu, Jingqi Li, Maulik Bhatt, Negar Mehr:
To What Extent do Open-loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games? CoRR abs/2409.11257 (2024) - [i17]Chih-Yuan Chiu, Shankar Sastry:
Parameter Estimation in Optimal Tolling for Traffic Networks Under the Markovian Traffic Equilibrium. CoRR abs/2409.19765 (2024) - 2023
- [b1]Chih-Yuan Chiu:
Algorithm Design for Safe and Efficient Societal-Scale Navigation. University of California, Berkeley, USA, 2023 - [j3]Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma:
Pursuit of a discriminative representation for multiple subspaces via sequential games. J. Frankl. Inst. 360(6): 4135-4171 (2023) - [j2]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
The Computation of Approximate Generalized Feedback Nash Equilibria. SIAM J. Optim. 33(1): 294-318 (2023) - [c13]Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry:
Dynamic Tolling in Arc-based Traffic Assignment Models. Allerton 2023: 1-8 - [c12]Chih-Yuan Chiu:
SLAM Backends with Objects in Motion: A Unifying Framework and Tutorial. ACC 2023: 1635-1642 - [c11]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. AAMAS 2023: 1062-1070 - [c10]Chih-Yuan Chiu, Kshitij Kulkarni, Shankar Sastry:
Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test. CDC 2023: 7610-7616 - [c9]Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry:
Arc-Based Traffic Assignment: Equilibrium Characterization and Learning. CDC 2023: 7751-7758 - [c8]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CDC 2023: 8093-8099 - [i16]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. CoRR abs/2301.01398 (2023) - [i15]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CoRR abs/2304.01945 (2023) - [i14]Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, S. Shankar Sastry:
Arc-based Traffic Assignment: Equilibrium Characterization and Learning. CoRR abs/2304.04705 (2023) - [i13]Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora:
Contingency Games for Multi-Agent Interaction. CoRR abs/2304.05483 (2023) - [i12]Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry:
Dynamic Tolling in Arc-based Traffic Assignment Models. CoRR abs/2307.05466 (2023) - 2022
- [j1]Amay Saxena, Chih-Yuan Chiu, Ritika Shrivastava, Joseph Menke, Shankar Sastry:
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization. IEEE Robotics Autom. Lett. 7(3): 7148-7155 (2022) - [c7]Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, Shankar Sastry, Lillian J. Ratliff:
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization. AISTATS 2022: 6702-6734 - [c6]Chih-Yuan Chiu, David Fridovich-Keil:
GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios. CDC 2022: 247-252 - [i11]Chih-Yuan Chiu, David Fridovich-Keil:
GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios. CoRR abs/2203.16690 (2022) - [i10]Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma:
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games. CoRR abs/2206.09120 (2022) - [i9]Chih-Yuan Chiu:
SLAM Backends with Objects in Motion: A Unifying Framework and Tutorial. CoRR abs/2207.05043 (2022) - [i8]Chih-Yuan Chiu, Kshitij Kulkarni, S. Shankar Sastry:
Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test. CoRR abs/2211.16596 (2022) - 2021
- [c5]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. ICRA 2021: 8016-8023 - [c4]Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin:
Encoding Defensive Driving as a Dynamic Nash Game. ICRA 2021: 10749-10756 - [c3]Rahul Arya, Chih-Yuan Chiu, Gireeja Ranade:
Stabilizability of Vector Systems with Uniform Actuation Unpredictability. ISIT 2021: 1895-1900 - [i7]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
The Computation of Approximate Generalized Feedback Nash Equilibria. CoRR abs/2101.02900 (2021) - [i6]Rahul Arya, Chih-Yuan Chiu, Gireeja Ranade:
Stabilizability of Vector Systems with Uniform Actuation Unpredictability. CoRR abs/2105.04652 (2021) - [i5]Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, S. Shankar Sastry, Lillian J. Ratliff:
Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization. CoRR abs/2106.09082 (2021) - [i4]Amay Saxena, Chih-Yuan Chiu, Joseph Menke, Ritika Shrivastava, Shankar Sastry:
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization. CoRR abs/2112.05921 (2021) - 2020
- [c2]Forrest Laine, Chih-Yuan Chiu, Claire J. Tomlin:
Eyes-Closed Safety Kernels: Safety of Autonomous Systems Under Loss of Observability. Robotics: Science and Systems 2020 - [i3]Forrest Laine, Chih-Yuan Chiu, Claire J. Tomlin:
Eyes-Closed Safety Kernels: Safety for Autonomous Systems Under Loss of Observability. CoRR abs/2005.07144 (2020) - [i2]Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin:
Encoding Defensive Driving as a Dynamic Nash Game. CoRR abs/2011.04815 (2020) - [i1]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. CoRR abs/2011.06047 (2020)
2000 – 2009
- 2006
- [c1]Chih-Yuan Chiu, Yung-Fang Chen:
A Concatenated Reduced-Rank Processing Scheme for MC-CDMA Systems with an Antenna Array. VTC Spring 2006: 2701-2705
Coauthor Index
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