Tengyang Xie
21 papers · 2018–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(90)
Top co-authors
Research topics
Machine Learning
(18)
Reinforcement Learning
(13)
Methods
(13)
Learning Types
(11)
Artificial Intelligence
(9)
Optimization & Theory
(9)
Core AI
(8)
Natural Language Processing
(3)
Generation
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
offline reinforcement learning
(6)
reinforcement learning
(5)
markov decision process
(5)
policy optimization
(5)
sample complexity
(3)
online reinforcement learning
(3)
preference optimization
(2)
latent reward
(2)
reinforcement learning from human feedback
(2)
batch reinforcement learning
(2)
adversarial training
(2)
policy learning
(2)
off-policy evaluation
(1)
preference alignment
(1)
function approximation
(1)
on-policy sampling
(1)
representation learning
(1)
risk management
(1)
sample efficiency
(1)
brain-computer interface
(1)
Papers
Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
ICLR 2025
Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective
ICML 2025
Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF
ICLR 2025
Reinforce LLM Reasoning through Multi-Agent Reflection
ICML 2025
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples
ACL 2024
Harnessing Density Ratios for Online Reinforcement Learning
ICLR 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
EMNLP 2024
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
ICML 2024
Towards Principled Representation Learning from Videos for Reinforcement Learning
ICLR 2024
Adversarial Model for Offline Reinforcement Learning
NeurIPS 2023
The Role of Coverage in Online Reinforcement Learning
ICLR 2023
Adversarially Trained Actor Critic for Offline Reinforcement Learning
ICML 2022
Interaction-Grounded Learning with Action-Inclusive Feedback
NeurIPS 2022
Batch Value-function Approximation with Only Realizability
ICML 2021
Bellman-consistent Pessimism for Offline Reinforcement Learning
NeurIPS 2021
Interaction-Grounded Learning
ICML 2021
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
NeurIPS 2021
Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
UAI 2020
Provably Efficient Q-Learning with Low Switching Cost
NeurIPS 2019
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
NeurIPS 2019
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
NeurIPS 2018