Tao Liu

18 papers A* 5A 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
ArchPilot: A Proxy-Guided Multi-Agent Approach for Machine Learning Engineering.
CoRR
Zhuowen Yuan, Tao Liu, Yang Yang, Yang Wang, Feng Qi, Kaushik Rangadurai, Bo Li, Shuang Yang
2025 A conf
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID.
RecSys
Carolina Zheng, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Fan Xia, Gaby Nahum, Jie Lei, Yang Yang, Tao Liu, Zutian Luo, Xiaohan Wei, Dinesh Ramasamy, Jiyan Yang, Yiping Han, Lin Yang, Hangjun Xu, Rong Jin, Shuang Yang
2025 J jnl
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID.
CoRR
Carolina Zheng, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Gaby Nahum, Jie Lei, Yang Yang, Tao Liu, Zutian Luo, Xiaohan Wei, Dinesh Ramasamy, Jiyan Yang, Yiping Han, Lin Yang, Hangjun Xu, Rong Jin, Shuang Yang
2025 — conf
Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning.
KDD (1)
Tao Liu, Qi Xu, Wei Shi, Zhigang Hua, Shuang Yang
2024 J jnl
Linear Convergence of Independent Natural Policy Gradient in Games With Entropy Regularization.
IEEE Control. Syst. Lett.
Youbang Sun, Tao Liu, P. R. Kumar, Shahin Shahrampour
2024 J jnl
Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization.
CoRR
Youbang Sun, Tao Liu, P. R. Kumar, Shahin Shahrampour
2023 A* conf
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation.
NeurIPS
Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian
2023 J jnl
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation.
CoRR
Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian
2023 A* conf
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games.
NeurIPS
Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
2023 J jnl
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games.
CoRR
Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
2022 A* conf
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning.
NeurIPS
Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian
2022 J jnl
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning.
CoRR
Ruida Zhou, Tao Liu, Dileep M. Kalathil, P. R. Kumar, Chao Tian
2022 A* conf
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales.
NeurIPS
Tao Liu, P. R. Kumar, Ruida Zhou, Xi Liu
2021 J jnl
Fast Global Convergence of Policy Optimization for Constrained MDPs.
CoRR
Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian
2021 A* conf
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs.
NeurIPS
Tao Liu, Ruida Zhou, Dileep Kalathil, Panganamala R. Kumar, Chao Tian
2021 J jnl
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs.
CoRR
Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian
2021 J jnl
Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales.
CoRR
Tao Liu, P. R. Kumar, Xi Liu
2019 J jnl
An Optimized Low-Power Optical Memory Access Network for Kilocore Systems.
IEICE Trans. Inf. Syst.
Tao Liu, Huaxi Gu, Yue Wang, Wei Zou