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Papers
A Single Stepsize Suffices for Unprojected Linear TD(0): Simultaneous Robust and Fast Rates via Polyak–Ruppert Averaging
COLT 2026
On the Convergence of Continuous Single-timescale Actor-critic
ICML 2025
Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization
UAI 2025
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
ICML 2024
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
ICML 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
AISTATS 2024
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling
ICML 2022
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
AAAI 2021
Reanalysis of Variance Reduced Temporal Difference Learning
ICLR 2020