Tao Li
Orcid: 0000-0001-8966-7239Affiliations:
- New York University, New York, NY, USA
According to our database1,
Tao Li
authored at least 38 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation.
CoRR, June, 2025
CoRR, May, 2025
Traffic Adaptive Moving-window Service Patrolling for Real-time Incident Management during High-impact Events.
CoRR, April, 2025
Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective.
CoRR, March, 2025
IEEE Trans. Inf. Forensics Secur., 2025
Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing With Zero-Shot Reinforcement Learning.
IEEE Open J. Commun. Soc., 2025
2024
CoRR, 2024
Learning from Response not Preference: A Stackelberg Approach for LLM Detoxification using Non-parallel Data.
CoRR, 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks.
CoRR, 2024
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning.
CoRR, 2024
Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management.
CoRR, 2024
Symbiotic Game and Foundation Models for Cyber Deception Operations in Strategic Cyber Warfare.
CoRR, 2024
CoRR, 2024
Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
2023
Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design.
IEEE Trans. Signal Inf. Process. over Networks, 2023
Self-Confirming Transformer for Locally Consistent Online Adaptation in Multi-Agent Reinforcement Learning.
CoRR, 2023
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks.
CoRR, 2023
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report).
CoRR, 2023
Generalizable Wireless Navigation through Physics-Informed Reinforcement Learning in Wireless Digital Twin.
CoRR, 2023
Designing Policies for Truth: Combating Misinformation with Transparency and Information Design.
Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach.
Proceedings of the IEEE INFOCOM 2023, 2023
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Is Stochastic Mirror Descent Vulnerable to Adversarial Delay Attacks? A Traffic Assignment Resilience Study.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
On the Price of Transparency: A Comparison Between Overt Persuasion and Covert Signaling.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the American Control Conference, 2023
2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis.
CoRR, 2022
Annu. Rev. Control., 2022
2021
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
Proceedings of the 2021 American Control Conference, 2021
2020
Communication-Efficient Distributed Machine Learning over Strategic Networks: A Two-Layer Game Approach.
CoRR, 2020
2019
Directional compactly supported box spline tight framelets with simple geometric structure.
Appl. Math. Lett., 2019
On Convergence Rate of Adaptive Multiscale Value Function Approximation for Reinforcement Learning.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
2017
CoRR, 2017