Shangtong Zhang

11 papers at tracked venues · 10 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

ICLR ×4 AAAI ×2 ICML ×2 NeurIPS ×2 IJCAI ×1

Frequent coauthors

Shuze Daniel Liu

×4

Claire Chen

×3

Ethan Blaser

×2

Zixuan Xie

×2

Xinyu Liu

×2

Rohan Chandra

×2

Jiuqi Wang

×2

Shuyang Dong

×1

Lu Feng

×1

Xiaochi Qian

×1

Hadi Daneshmand

×1

Papers

Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise
AAAI 2026 ·
Ethan Blaser
, Shangtong Zhang
Counterfactual Explanations for Continuous Action Reinforcement Learning
IJCAI 2025 ·
Shuyang Dong
, Shangtong Zhang,
Lu Feng
Doubly Optimal Policy Evaluation for Reinforcement Learning
ICLR 2025 ·
Shuze Daniel Liu
,
Claire Chen
, Shangtong Zhang
Efficient Multi-Policy Evaluation for Reinforcement Learning
AAAI 2025 ·
Shuze Daniel Liu
,
Claire Chen
, Shangtong Zhang
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
ICLR 2025 ·
Claire Chen
,
Shuze Daniel Liu
, Shangtong Zhang
Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
NeurIPS 2025 ·
Zixuan Xie
,
Xinyu Liu
,
Rohan Chandra
, Shangtong Zhang
Linear Q-Learning Does Not Diverge in L2: Convergence Rates to a Bounded Set
ICML 2025 ·
Xinyu Liu
,
Zixuan Xie
, Shangtong Zhang
Revisiting a Design Choice in Gradient Temporal Difference Learning
ICLR 2025 ·
Xiaochi Qian
, Shangtong Zhang
Towards Provable Emergence of In-Context Reinforcement Learning
NeurIPS 2025 ·
Jiuqi Wang
,
Rohan Chandra
, Shangtong Zhang
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
ICLR 2025 ·
Jiuqi Wang
,
Ethan Blaser
,
Hadi Daneshmand
, Shangtong Zhang
Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
ICML 2024 ·
Shuze Daniel Liu
, Shangtong Zhang