Yi Tian
7 papers · 2018–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (4) π Academic Marathon (5) π Renaissance Researcher (6) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(18)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
β
The Questioner
Conferences
NIPS (3)
ICML (2)
CVPR (1)
L4DC (1)
Top co-authors
Keywords
regret bound
(2)
reinforcement learning
(1)
online learning
(1)
non-convex optimization
(1)
gradient descent
(1)
state representation
(1)
frame selection
(1)
minimax optimal
(1)
convergence rate
(1)
sublinear regret
(1)
stationary point
(1)
blackwell approachability
(1)
markov game
(1)
exploration bonus
(1)
model-based algorithm
(1)
multi-objective reinforcement learning
(1)
min-max optimization
(1)
graph convolutional network
(1)
factored mdp
(1)
nesterov accelerated gradient
(1)
Papers
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?
L4DC 2023
Convex and Non-convex Optimization Under Generalized Smoothness
NIPS 2023
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
NIPS 2021
Online Learning in Unknown Markov Games
ICML 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL
ICML 2021
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
NIPS 2020
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition
CVPR 2018