An Optimized Low-Power Optical Memory Access Network for Kilocore Systems. - Tao Liu 035; Huaxi Gu; Yue Wang; Wei Zou (IEICE Trans. Inf. Syst., 2019)

Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs. - Tao Liu 035; Ruida Zhou; Dileep Kalathil; Panganamala R. Kumar; Chao Tian 002 (NeurIPS, 2021)

Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales. - Tao Liu 035; P. R. Kumar 001; Xi Liu 011 (CoRR, 2021)

Fast Global Convergence of Policy Optimization for Constrained MDPs. - Tao Liu 035; Ruida Zhou; Dileep Kalathil; P. R. Kumar 001; Chao Tian 002 (CoRR, 2021)

Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales. - Tao Liu 035; P. R. Kumar 001; Ruida Zhou; Xi Liu 011 (NeurIPS, 2022)

Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning. - Ruida Zhou; Tao Liu 035; Dileep Kalathil; P. R. Kumar 001; Chao Tian 002 (NeurIPS, 2022)

Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games. - Youbang Sun; Tao Liu 035; Ruida Zhou; P. R. Kumar 001; Shahin Shahrampour (NeurIPS, 2023)

Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation. - Ruida Zhou; Tao Liu 035; Min Cheng; Dileep Kalathil; P. R. Kumar 001; Chao Tian 002 (NeurIPS, 2023)

Linear Convergence of Independent Natural Policy Gradient in Games With Entropy Regularization. - Youbang Sun; Tao Liu 035; P. R. Kumar 001; Shahin Shahrampour (IEEE Control. Syst. Lett., 2024)

Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning. - Tao Liu 035; Qi Xu; Wei Shi 011; Zhigang Hua; Shuang Yang (KDD (1), 2025)