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Found 4 papers, 0 papers with code
Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction
Natural policy gradient (NPG) and its variants are widely-used policy search methods in reinforcement learning.
On the Linear Convergence of Policy Gradient under Hadamard Parameterization
To show the local linear convergence of the algorithm, we have indeed established the contraction of the sub-optimal probability $b_s^k$ (i. e., the probability of the output policy $\pi^k$ on non-optimal actions) when $k\ge k_0$.
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation
Reusing published datasets on the Web is of great interest to researchers and developers.
A Framework for Evaluating Snippet Generation for Dataset Search
Reusing existing datasets is of considerable significance to researchers and developers.
