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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.OC2025

Policy Mirror Descent with Temporal Difference Learning: Sample Complexity under Online Markov Data

Wenye Li, Hongxu Chen, Jiacai Liu +1

This paper studies the policy mirror descent (PMD) method, which is a general policy optimization framework in reinforcement learning and can cover a wide range of policy gradient…

math.OC2025

On the Convergence of Policy Mirror Descent with Temporal Difference Evaluation

Jiacai Liu, Wenye Li, Ke Wei

Policy mirror descent (PMD) is a general policy optimization framework in reinforcement learning, which can cover a wide range of typical policy optimization methods by specifying…