Tiancheng Yu
11 papers · 2018–2023 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (3) π Academic Marathon (5)
π£
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π
Cross-Pollinator
(9)
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Century Club
(11)
Conferences
ICML (7)
NIPS (3)
ICLR (1)
Top co-authors
Keywords
sample complexity
(4)
markov game
(4)
nash equilibrium
(4)
game theory
(3)
multi-agent system
(2)
extensive-form game
(2)
regret bound
(2)
natural policy gradient
(1)
function approximation
(1)
adversarial learning
(1)
markov decision process
(1)
regret minimization
(1)
equilibrium learning
(1)
value iteration
(1)
stationary distribution
(1)
imperfect information
(1)
bandit feedback
(1)
distribution testing
(1)
markov chain
(1)
model-based reinforcement learning
(1)
Papers
The Power of Regularization in Solving Extensive-Form Games
ICLR 2023
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
ICML 2022
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
NIPS 2022
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
ICML 2022
Provably Efficient Algorithms for Multi-Objective Competitive RL
ICML 2021
Online Learning in Unknown Markov Games
ICML 2021
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
ICML 2021
Reward-Free Exploration for Reinforcement Learning
ICML 2020
Near-Optimal Reinforcement Learning with Self-Play
NIPS 2020
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
ICML 2020
Entropy Rate Estimation for Markov Chains with Large State Space
NIPS 2018