16 citations · 58 across the 27 of their papers we have counts for
4 papers · 1 filter
Policy Optimization for Constrained MDPs with Provable Fast Global Convergence
Tao Liu, Ruida Zhou, Dileep Kalathil +2
We address the problem of finding the optimal policy of a constrained Markov decision process (CMDP) using a gradient descent-based algorithm. Previous results have shown that a pr…
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
Tao Liu, P. R. Kumar, Ruida Zhou +1
Motivated by the problem of learning with small sample sizes, this paper shows how to incorporate into support-vector machines (SVMs) those properties that have made convolutional…
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
Tao Liu, Ruida Zhou, Dileep Kalathil +2
We address the issue of safety in reinforcement learning. We pose the problem in an episodic framework of a constrained Markov decision process. Existing results have shown that it…
Two-Level Private Information Retrieval
Ruida Zhou, Chao Tian, Hua Sun +1
In the conventional robust -colluding private information retrieval (PIR) system, the user needs to retrieve one of the possible messages while keeping the identity of the reque…