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20232026
most citedS-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation

1 citations · 1 across the 7 of their papers we have counts for

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math.OC2026

Does Policy Mirror Descent Converge in Policy with Non-Decomposable Mirror Maps? A Counterexample

Wenye Li, Ke Wei

Policy mirror descent (PMD) refers to a class of policy optimization methods associated with different mirror maps. For a broad class of decomposable Legendre mirror maps encompass…

cs.LG2026

Fast Regularized Policy Mirror Descent with One-Step TD Updates

Qipei Chen, Wenye Li, Yule Sun +1

Policy mirror descent (PMD) enjoys fast convergence in regularized Markov decision processes (MDPs), but existing guarantees often rely on exact or increasingly accurate policy eva…

math.OC2026

On the Policy Convergence of Policy Mirror Descent Methods

Wenye Li, Ke Wei

We study the policy convergence of unregularized policy mirror descent (PMD) with arbitrary constant step sizes for finite discounted Markov decision processes. We focus on decompo…