Tengyu Xu
17 papers · 2019–2025 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(15)
Optimization & Theory Β· Machine Learning
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Reinforcement Learning
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Methods
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Learning Types Β· Machine Learning
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Artificial Intelligence
(4)
Core AI
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Deep Learning
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Mathematics & Optimization
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Natural Language Processing
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Optimization
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Optimization & Theory Β· Deep Learning
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Resources & Methods
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Keywords
temporal difference learning
(5)
convergence analysis
(5)
sample complexity
(4)
reinforcement learning
(4)
markov decision process
(3)
off-policy learning
(3)
policy optimization
(3)
stochastic approximation
(3)
policy gradient
(3)
two time-scale
(2)
markovian sampling
(2)
large language model
(2)
function approximation
(2)
non-asymptotic analysis
(2)
convergence guarantee
(2)
value function
(2)
convergence rate
(2)
global convergence
(1)
non-convex optimization
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natural policy gradient
(1)
Papers
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation
ACL 2025
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
EMNLP 2025
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
ICML 2025
A Unifying Framework of Off-Policy General Value Function Evaluation
NeurIPS 2022
Deterministic policy gradient: Convergence analysis
UAI 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
ICLR 2022
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
ICLR 2022
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
ICML 2021
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
ICML 2021
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
AAAI 2021
Proximal Gradient Descent-Ascent: Variable Convergence under KΕ Geometry
ICLR 2021
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
AISTATS 2021
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence
AISTATS 2021
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms
NeurIPS 2020
Reanalysis of Variance Reduced Temporal Difference Learning
ICLR 2020
Finite-Sample Analysis for SARSA with Linear Function Approximation
NeurIPS 2019
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
NeurIPS 2019