Tiancheng Yu
12 papers · 2018–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(53)
Venues
Top co-authors
Research topics
Keywords
nash equilibrium
(5)
markov game
(5)
sample complexity
(4)
game theory
(3)
extensive-form game
(3)
multi-agent system
(2)
regret bound
(2)
function approximation
(1)
equilibrium learning
(1)
adversarial learning
(1)
imperfect information
(1)
markov decision process
(1)
regret minimization
(1)
distribution testing
(1)
non-convex optimization
(1)
counterfactual regret minimization
(1)
markov chain
(1)
language modeling
(1)
model-based reinforcement learning
(1)
value iteration
(1)
Papers
Regret Minimization with Adaptive Opponents in Repeated Games
COLT 2026
The Power of Regularization in Solving Extensive-Form Games
ICLR 2023
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
NeurIPS 2022
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
ICML 2022
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
ICML 2022
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
ICML 2021
Online Learning in Unknown Markov Games
ICML 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL
ICML 2021
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
ICML 2020
Near-Optimal Reinforcement Learning with Self-Play
NeurIPS 2020
Reward-Free Exploration for Reinforcement Learning
ICML 2020
Entropy Rate Estimation for Markov Chains with Large State Space
NeurIPS 2018