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 Shimon Whiteson, Hengshuai Yao, Bo Liu
12 papers
· 2019–2022
· ICML, AAAI, NeurIPS
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Truncated Emphatic Temporal Difference Methods for Prediction and Control
JMLR 2022
Average-Reward Off-Policy Policy Evaluation with Function Approximation
ICML 2021
Breaking the Deadly Triad with a Target Network
ICML 2021
Deep Residual Reinforcement Learning (Extended Abstract)
IJCAI 2021
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
AAAI 2021
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
ICML 2020
Learning Retrospective Knowledge with Reverse Reinforcement Learning
NeurIPS 2020
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
ICML 2020
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
AAAI 2019
DAC: The Double Actor-Critic Architecture for Learning Options
NeurIPS 2019
Generalized Off-Policy Actor-Critic
NeurIPS 2019
QUOTA: The Quantile Option Architecture for Reinforcement Learning
AAAI 2019
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