Tao Li
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The confluence of networks, games, and learning a game-theoretic framework for multiagent decision making over networks
T Li, G Peng, Q Zhu, T Başar
IEEE Control Systems Magazine 42 (4), 35-67, 2022
The role of information structures in game-theoretic multi-agent learning
T Li, Y Zhao, Q Zhu
Annual Reviews in Control 53, 296-314, 2022
Directional compactly supported box spline tight framelets with simple geometric structure
B Han, T Li, X Zhuang
Applied Mathematics Letters 91, 213-219, 2019
On convergence rate of adaptive multiscale value function approximation for reinforcement learning
T Li, Q Zhu
2019 IEEE 29th international workshop on machine learning for signal …, 2019
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach
Y Ge, T Li, Q Zhu
The 2023 International Workshop on AI-Driven Trustworthy, Secure, and …, 2023
Blackwell online learning for markov decision processes
T Li, G Peng, Q Zhu
2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2021
Game-theoretic distributed empirical risk minimization with strategic network design
S Liu, T Li, Q Zhu
IEEE Transactions on Signal and Information Processing over Networks, 2023
Causality and batch reinforcement learning: Complementary approaches to planning in unknown domains
J Bannon, B Windsor, W Song, T Li
arXiv preprint arXiv:2006.02579, 2020
On the resilience of traffic networks under non-equilibrium learning
Y Pan, T Li, Q Zhu
2023 American Control Conference (ACC), 3484-3489, 2023
A First Order Meta Stackelberg Method for Robust Federated Learning
Y Pan, T Li, H Li, T Xu, Z Zheng, Q Zhu
ICML 2023 Workshop on The 2nd New Frontiers In Adversarial Machine Learning, 2023
Designing Policies for Truth: Combating Misinformation with Transparency and Information Design
YT Yang, T Li, Q Zhu
2023 21st International Symposium on Modeling and Optimization in Mobile, Ad …, 2023
On the Price of Transparency: A Comparison between Overt Persuasion and Covert Signaling
T Li, Q Zhu
2023 62nd IEEE Conference on Decision and Control (CDC), 4267-4272, 2023
Self-adaptive driving in nonstationary environments through conjectural online lookahead adaptation
T Li, H Lei, Q Zhu
2023 IEEE International Conference on Robotics and Automation (ICRA), 7205-7211, 2023
Commitment with signaling under double-sided information asymmetry
T Li, Q Zhu
arXiv preprint arXiv:2212.11446, 2022
Is Stochastic Mirror Descent Vulnerable to Adversarial Delay Attacks? A Traffic Assignment Resilience Study
Y Pan, T Li, Q Zhu
2023 62nd IEEE Conference on Decision and Control, 8328-8333, 2023
Sampling attacks on meta reinforcement learning: A minimax formulation and complexity analysis
T Li, H Lei, Q Zhu
arXiv preprint arXiv:2208.00081, 2022
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks
T Li, Y Pan, Q Zhu
Network Security Empowered by Artificial Intelligence, 2024
Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games
T Li, K Hammar, R Stadler, Q Zhu
arXiv preprint arXiv:2402.18781, 2024
Self-confirming transformer for locally consistent online adaptation in multi-agent reinforcement learning
T Li, J Guevara, X Xie, Q Zhu
arXiv preprint arXiv:2310.04579, 2023
Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning
M Yin, T Li, H Lei, Y Hu, S Rangan, Q Zhu
International Conference on Robotics and Automation (ICRA), 2024
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