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20222024
most citedSample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds

1 citations · 2 across the 6 of their papers we have counts for

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cs.LG2022★ 1 cited

Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks

Xiang Ji, Minshuo Chen, Mengdi Wang +1

We consider the off-policy evaluation problem of reinforcement learning using deep convolutional neural networks. We analyze the deep fitted Q-evaluation method for estimating the…

stat.ML2022

Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration

Chengzhuo Ni, Ruiqi Zhang, Xiang Ji +2

Policy gradient (PG) estimation becomes a challenge when we are not allowed to sample with the target policy but only have access to a dataset generated by some unknown behavior po…