Shangtong Zhang
29 papers · 2019–2026 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Shangtong Zhang?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Jiuqi Wang, Ethan Blaser, Hadi Daneshmand
3 papers
· 2025–2026
· JMLR, AAAI, ICLR
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Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary Features
JMLR 2026
Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise
AAAI 2026
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
ICLR 2025
7 papers whose co-authors appear nowhere else under this name
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
L4DC 2026
Counterfactual Explanations for Continuous Action Reinforcement Learning
IJCAI 2025
Linear Q-Learning Does Not Diverge in L^2: Convergence Rates to a Bounded Set
ICML 2025
Revisiting a Design Choice in Gradient Temporal Difference Learning
ICLR 2025
A New Challenge in Policy Evaluation
AAAI 2023
Learning Expected Emphatic Traces for Deep RL
AAAI 2022
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
AAAI 2020