Tiancheng Yu

Orcid: 0000-0001-8941-1073

According to our database1, Tiancheng Yu authored at least 22 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Climate Policy Risk and Corporate Financial Decisions: Evidence from the NO<sub>x</sub> Budget Trading Program.
Manag. Sci., December, 2023

The Power of Regularization in Solving Extensive-Form Games.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tracking Control of Shape Memory Alloy Artificial Wrist Joint Based on Generalized Prandtl-Ishlinskii Inverse Model.
Proceedings of the IEEE International Conference on Development and Learning, 2023

Modeling of Shape Memory Alloy Artificial Wrist Joint via Modified Prandtl-Ishlinskii Hysteresis Model.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent.
CoRR, 2022

Low-cost turn compensation control system for conserving seeds and increasing yields from maize precision planters.
Comput. Electron. Agric., 2022

Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces.
Proceedings of the International Conference on Machine Learning, 2022

Near-Optimal Learning of Extensive-Form Games with Imperfect Information.
Proceedings of the International Conference on Machine Learning, 2022

2021
V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent RL.
CoRR, 2021

Experimental analysis on the variation law of sensor monitoring accuracy under different seeding speed and seeding spacing.
Comput. Electron. Agric., 2021

Provably Efficient Algorithms for Multi-Objective Competitive RL.
Proceedings of the 38th International Conference on Machine Learning, 2021

Online Learning in Unknown Markov Games.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Sharp Analysis of Model-based Reinforcement Learning with Self-Play.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Provably Efficient Online Agnostic Learning in Markov Games.
CoRR, 2020

A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms.
CoRR, 2020

Near-Optimal Reinforcement Learning with Self-Play.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reward-Free Exploration for Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition.
Proceedings of the 37th International Conference on Machine Learning, 2020

2018
Asymptotic Performance Analysis for Landmark Learning in Indoor Localization.
IEEE Commun. Lett., 2018

Entropy Rate Estimation for Markov Chains with Large State Space.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Probabilistic Learning Approach to UWB Ranging Error Mitigation.
Proceedings of the IEEE Global Communications Conference, 2018


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